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[ "Thank you I will try this out!\r\n\r\nOn Tue, Jun 11, 2024 at 3:55 AM Vincent Lau ***@***.***>\r\nwrote:\r\n\r\n> I add a \"streaming=True\" after the name of the dataset, and it\r\n> works.....hope it can help you\r\n>\r\n> And if you install the version datasets==2.15.0, this bug will not happen.\r\n> I don't kn...
irc_disentangle - Issue with splitting data
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I_kwDODunzps6JT1qP
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2024-05-17T23:19:37Z
https://api.github.com/repos/huggingface/datasets/issues/6906/comments
### Describe the bug I am trying to access your database through python using "datasets.load_dataset("irc_disentangle")" and I am getting this error message: ValueError: Instruction "train" corresponds to no data! ### Steps to reproduce the bug import datasets ds = datasets.load_dataset('irc_disentangle') ds ### Expected behavior The data is supposed to load into ds and be accessable as such: ds['train'][1050], ds['train'][1055] ### Environment info I tired Python 3.12 and 3.10
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Extraction protocol for arrow files is not defined
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I_kwDODunzps6JRn7b
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2024-05-17T16:01:41Z
https://api.github.com/repos/huggingface/datasets/issues/6905/comments
### Describe the bug Passing files with `.arrow` extension into data_files argument, at least when `streaming=True` is very slow. ### Steps to reproduce the bug Basically it goes through the `_get_extraction_protocol` method located [here](https://github.com/huggingface/datasets/blob/main/src/datasets/utils/file_utils.py#L820) The method then looks at some base known extensions where `arrow` is not defined so it proceeds to determine the compression with the magic number method which is slow when dealing with a lot of files which are stored in s3 and by looking at this predefined list, I don't see `arrow` in there either so in the end it return None: ``` MAGIC_NUMBER_TO_COMPRESSION_PROTOCOL = { bytes.fromhex("504B0304"): "zip", bytes.fromhex("504B0506"): "zip", # empty archive bytes.fromhex("504B0708"): "zip", # spanned archive bytes.fromhex("425A68"): "bz2", bytes.fromhex("1F8B"): "gzip", bytes.fromhex("FD377A585A00"): "xz", bytes.fromhex("04224D18"): "lz4", bytes.fromhex("28B52FFD"): "zstd", } ``` ### Expected behavior My expectation is that `arrow` would be in the known lists so it would return None without going through the magic number method. ### Environment info datasets 2.19.0
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Fix decoding multi part extension
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2024-05-17T14:32:57Z
https://api.github.com/repos/huggingface/datasets/issues/6904/comments
e.g. a field named `url.txt` should be a treated as text I also included a small fix to support .npz correctly
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2024-06-14T16:24:31Z
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https://github.com/huggingface/datasets/issues/6903
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[ "I think [`Dataset.to_parquet`](https://huggingface.co/docs/datasets/v1.10.2/package_reference/main_classes.html#datasets.Dataset.to_parquet) is what you're looking for.\r\n\r\nLet me know if I'm wrong ", "No, it does not save the metadata json.\r\n\r\nWe have to recode all meta json load/save\r\nwith another cus...
Add the option of saving in parquet instead of arrow
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I_kwDODunzps6JHd5V
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2024-05-16T13:35:51Z
https://api.github.com/repos/huggingface/datasets/issues/6903/comments
### Feature request In dataset.save_to_disk('/path/to/save/dataset'), add the option to save in parquet format dataset.save_to_disk('/path/to/save/dataset', format="parquet"), because arrow is not used for Production Big data.... (only parquet) ### Motivation because arrow is not used for Production Big data.... (only parquet) ### Your contribution I can do the testing !
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Make CLI convert_to_parquet not raise error if no rights to create script branch
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2024-05-16T12:21:27Z
https://api.github.com/repos/huggingface/datasets/issues/6902/comments
Make CLI convert_to_parquet not raise error if no rights to create "script" branch. Not that before this PR, the error was not critical because it was raised at the end of the script, once all the rest of the steps were already performed. Fix #6901. Bug introduced in datasets-2.19.0 by: - #6809
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HTTPError 403 raised by CLI convert_to_parquet when creating script branch on 3rd party repos
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2024-05-16T11:40:22Z
https://api.github.com/repos/huggingface/datasets/issues/6901/comments
CLI convert_to_parquet cannot create "script" branch on 3rd party repos. It can only create it on repos where the user executing the script has write access. Otherwise, a 403 Forbidden HTTPError is raised: ``` Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status response.raise_for_status() File "/usr/local/lib/python3.10/dist-packages/requests/models.py", line 1021, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/datasets/ORG/DATASET/branch/script The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/usr/local/bin/datasets-cli", line 8, in <module> sys.exit(main()) File "/usr/local/lib/python3.10/dist-packages/datasets/commands/datasets_cli.py", line 41, in main service.run() File "/usr/local/lib/python3.10/dist-packages/datasets/commands/convert_to_parquet.py", line 92, in run create_branch(dataset_id, branch="script", repo_type="dataset", token=token, exist_ok=True) File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/hf_api.py", line 5503, in create_branch hf_raise_for_status(response) File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6645ee0d-4db1ed8a1fbe04956be15897;139a6e23-df7d-4f62-b5ba-adb6d8e6e696) 403 Forbidden: Forbidden: cannot write to script. Cannot access content at: https://huggingface.co/api/datasets/ORG/DATASET/branch/script. If you are trying to create or update content,make sure you have a token with the `write` role. ```
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[ "@lhoestq How difficult of fix is this?", "It shouldn't be difficult, I think it's just a matter of adding the missing fields from `self.config.features` in `example` here: before it iterates on image_field_names and audio_field_names. A missing field should have a value set to None\r\n\r\nhttps://github.com/hugg...
[WebDataset] KeyError with user-defined `Features` when a field is missing in an example
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2024-05-15T17:48:34Z
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reported at https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions/discussions/1 ``` File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 109, in _generate_examples example[field_name] = {"path": example["__key__"] + "." + field_name, "bytes": example[field_name]} ```
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List of dictionary features get standardized
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### Describe the bug Hi, i’m trying to create a HF dataset from a list using Dataset.from_list. Each sample in the list is a dict with the same keys (which will be my features). The values for each feature are a list of dictionaries, and each such dictionary has a different set of keys. However, the datasets library standardizes all dictionaries under a feature and adds all possible keys (with None value) from all the dictionaries under that feature. How can I keep the same set of keys as in the original list for each dictionary under a feature? ### Steps to reproduce the bug ``` from datasets import Dataset # Define a function to generate a sample with "tools" feature def generate_sample(): # Generate random sample data sample_data = { "text": "Sample text", "feature_1": [] } # Add feature_1 with random keys for this sample feature_1 = [{"key1": "value1"}, {"key2": "value2"}] # Example feature_1 with random keys sample_data["feature_1"].extend(feature_1) return sample_data # Generate multiple samples num_samples = 10 samples = [generate_sample() for _ in range(num_samples)] # Create a Hugging Face Dataset dataset = Dataset.from_list(samples) dataset[0] ``` ```{'text': 'Sample text', 'feature_1': [{'key1': 'value1', 'key2': None}, {'key1': None, 'key2': 'value2'}]}``` ### Expected behavior ```{'text': 'Sample text', 'feature_1': [{'key1': 'value1'}, {'key2': 'value2'}]}``` ### Environment info - `datasets` version: 2.19.1 - Platform: Linux-5.15.0-1040-nvidia-x86_64-with-glibc2.35 - Python version: 3.10.13 - `huggingface_hub` version: 0.23.0 - PyArrow version: 15.0.0 - Pandas version: 2.2.0 - `fsspec` version: 2023.10.0
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Fix YAML error in README files appearing on GitHub
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2024-05-14T05:21:57Z
https://api.github.com/repos/huggingface/datasets/issues/6898/comments
Fix YAML error in README files appearing on GitHub. See error message: ![Screenshot from 2024-05-14 06-58-02](https://github.com/huggingface/datasets/assets/8515462/7984cc4e-96ee-4e83-99a4-4c0c5791fa05) Fix #6897.
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[ "Hello, @bghira.\r\n\r\nThanks for reporting. Please note that the text originating the error is not supposed to be valid YAML: it contains the instructions to generate the actual YAML content, that should replace the instructions comment.\r\n\r\nOn the other hand, I agree that it is not nice to have that YAML erro...
datasets template guide :: issue in documentation YAML
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I_kwDODunzps6IsvAT
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2024-05-13T17:33:59Z
https://api.github.com/repos/huggingface/datasets/issues/6897/comments
### Describe the bug There is a YAML error at the top of the page, and I don't think it's supposed to be there ### Steps to reproduce the bug 1. Browse to [this tutorial document](https://github.com/huggingface/datasets/blob/main/templates/README_guide.md) 2. Observe a big red error at the top 3. The rest of the document remains functional ### Expected behavior I think the YAML block should be displayed or ignored. ### Environment info N/A
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Regression bug: `NonMatchingSplitsSizesError` for (possibly) overwritten dataset
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I_kwDODunzps6Irxb9
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2024-05-13T15:41:57Z
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### Describe the bug While trying to load the dataset `https://huggingface.co/datasets/pysentimiento/spanish-tweets-small`, I get this error: ```python --------------------------------------------------------------------------- NonMatchingSplitsSizesError Traceback (most recent call last) [<ipython-input-1-d6a3c721d3b8>](https://localhost:8080/#) in <cell line: 3>() 1 from datasets import load_dataset 2 ----> 3 ds = load_dataset("pysentimiento/spanish-tweets-small") 3 frames [/usr/local/lib/python3.10/dist-packages/datasets/load.py](https://localhost:8080/#) in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs) 2150 2151 # Download and prepare data -> 2152 builder_instance.download_and_prepare( 2153 download_config=download_config, 2154 download_mode=download_mode, [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs) 946 if num_proc is not None: 947 prepare_split_kwargs["num_proc"] = num_proc --> 948 self._download_and_prepare( 949 dl_manager=dl_manager, 950 verification_mode=verification_mode, [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs) 1059 1060 if verification_mode == VerificationMode.BASIC_CHECKS or verification_mode == VerificationMode.ALL_CHECKS: -> 1061 verify_splits(self.info.splits, split_dict) 1062 1063 # Update the info object with the splits. [/usr/local/lib/python3.10/dist-packages/datasets/utils/info_utils.py](https://localhost:8080/#) in verify_splits(expected_splits, recorded_splits) 98 ] 99 if len(bad_splits) > 0: --> 100 raise NonMatchingSplitsSizesError(str(bad_splits)) 101 logger.info("All the splits matched successfully.") 102 NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=82649695458, num_examples=597433111, shard_lengths=None, dataset_name=None), 'recorded': SplitInfo(name='train', num_bytes=3358310095, num_examples=24898932, shard_lengths=[3626991, 3716991, 4036990, 3506990, 3676990, 3716990, 2616990], dataset_name='spanish-tweets-small')}] ``` I think I had this dataset updated, might be related to #6271 It is working fine as late in `2.10.0` , but not in `2.13.0` onwards. ### Steps to reproduce the bug ```python from datasets import load_dataset ds = load_dataset("pysentimiento/spanish-tweets-small") ``` You can run it in [this notebook](https://colab.research.google.com/drive/1FdhqLiVimHIlkn7B54DbhizeQ4U3vGVl#scrollTo=YgA50cBSibUg) ### Expected behavior Load the dataset without any error ### Environment info - `datasets` version: 2.13.0 - Platform: Linux-6.1.58+-x86_64-with-glibc2.35 - Python version: 3.10.12 - Huggingface_hub version: 0.20.3 - PyArrow version: 14.0.2 - Pandas version: 2.0.3
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Document that to_json defaults to JSON Lines
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2024-05-13T14:22:34Z
https://api.github.com/repos/huggingface/datasets/issues/6895/comments
Document that `Dataset.to_json` defaults to JSON Lines, by adding explanation in the corresponding docstring. Fix #6894.
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Better document defaults of to_json
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I_kwDODunzps6Iqfci
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2024-05-13T13:30:54Z
https://api.github.com/repos/huggingface/datasets/issues/6894/comments
Better document defaults of `to_json`: the default format is [JSON-Lines](https://jsonlines.org/). Related to: - #6891
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Close gzipped files properly
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2024-05-13T12:24:39Z
https://api.github.com/repos/huggingface/datasets/issues/6893/comments
close https://github.com/huggingface/datasets/issues/6877
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Add support for categorical/dictionary types
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2024-05-12T07:15:08Z
https://api.github.com/repos/huggingface/datasets/issues/6892/comments
Arrow has a very useful dictionary/categorical type (https://arrow.apache.org/docs/python/generated/pyarrow.dictionary.html). This data type has significant speed, memory and disk benefits over pa.string() when there are only a few unique text strings in a column. Unfortunately, huggingface datasets currently does not support this type. So huggingface datasets cannot natively read many parquet files that use this datatype .This PR adds support for Huggingface Datasets to read categorical/dictionary data. Note: This PR functions by simply converting those dictionary/categorical types to strings. This means that huggingface datasets cannot take advantage of the compute benefits of categoricals, but it significantly simplifies logic. At this time, I do not think it makes sense to optimize categorical support within huggingface datasets and that we should only try to optimize later, if necessary. Closes #5706
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[ "Hi @DarshanDeshpande,\r\n\r\nPlease note that the default format of the method `Dataset.to_json` is [JSON-Lines](https://jsonlines.org/): it passes `orient=\"records\", lines=True` to `pandas.DataFrame.to_json`. This format is specially useful for large datasets, since unlike regular JSON files, it does not requir...
Unable to load JSON saved using `to_json`
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2024-05-12T01:02:51Z
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### Describe the bug Datasets stored in the JSON format cannot be loaded using `json.load()` ### Steps to reproduce the bug ``` import json from datasets import load_dataset dataset = load_dataset("squad") train_dataset, test_dataset = dataset["train"], dataset["validation"] test_dataset.to_json("full_dataset.json") # This works loaded_test = load_dataset("json", data_files="full_dataset.json") # This fails loaded_test = json.load(open("full_dataset.json", "r")) ``` ### Expected behavior The JSON should be correctly formatted when writing so that it can be loaded using `json.load()`. ### Environment info Colab: https://colab.research.google.com/drive/1st1iStFUVgu9ZPvnzSzL4vDeYWDwYpUm?usp=sharing
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add `with_transform` and/or `set_transform` to IterableDataset
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2024-05-10T01:00:12Z
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### Feature request when working with a really large dataset it would save us a lot of time (and compute resources) to use either with_transform or the set_transform from the Dataset class instead of waiting for the entire dataset to map ### Motivation don't want to wait for a really long dataset to map, this would give IterableDataset an extra advantage over the Dataset class. reducing time and resources ### Your contribution I am a little busy with my job search lately, but would post about this feature in my social media. Apologies again (dad going to kick me out soon), if I ever have some free time I will contribute to making this a reality, but that's going to be hard     / (┬┬﹏┬┬)\
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[ "@loicmagne, @KennethEnevoldsen", "Can you give more details on why this fix works ?", "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6889). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",...
fix bug #6877
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2024-05-09T13:38:40Z
https://api.github.com/repos/huggingface/datasets/issues/6889/comments
fix bug #6877 due to maybe f becomes invaild after yield process the results are below: Resolving data files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:01<00:00, 420.41it/s] Resolving data files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 26148.48it/s] Resolving data files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 409731.44it/s] Resolving data files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 289720.84it/s] Resolving data files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 26663.42it/s] Resolving data files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 434056.21it/s] Downloading data: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 13222.33files/s] Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:04<00:00, 180.67files/s] Downloading data: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [01:35<00:00, 8.70files/s] Generating train split: 1571592 examples [00:08, 176736.09 examples/s] Generating test split: 85533 examples [00:01, 48224.56 examples/s] Generating validation split: 86246 examples [00:01, 50164.16 examples/s] Fix https://github.com/huggingface/datasets/issues/6877. CC: @natolambert
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6888). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "I think webdataset splits the file name and extension using the first dot no ?\r\n\r\nh...
Support WebDataset containing file basenames with dots
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2024-05-09T08:25:30Z
https://api.github.com/repos/huggingface/datasets/issues/6888/comments
Support WebDataset containing file basenames with dots. Fix #6880.
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[ "Hello,\r\n\r\nI'm not sure I understand. \r\nThe return value of `ds.load_faiss_index` is None as expected.\r\n\r\nI see that loading an Index on a dataset that doesn't have an `embedding` column doesn't raise an Issue. Is that the issue?\r\n\r\nSo `ds` doesn't have an `embedding` column, but we load an index that...
FAISS load to None
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I_kwDODunzps6ITZdc
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2024-05-09T02:43:50Z
https://api.github.com/repos/huggingface/datasets/issues/6887/comments
### Describe the bug I've use FAISS with Datasets and save to FAISS. Then load to save FAISS then no error, then ds to None ```python ds.load_faiss_index('embeddings', 'my_index.faiss') ``` ### Steps to reproduce the bug # 1. ```python ds_with_embeddings = ds.map(lambda example: {'embeddings': model(transforms(example['image']).unsqueeze(0)).squeeze()}, batch_size=64) ds_with_embeddings.add_faiss_index(column='embeddings') ds_with_embeddings.save_faiss_index('embeddings', 'index.faiss') ``` # 2. ```python ds.load_faiss_index('embeddings', 'my_index.faiss') ``` ### Expected behavior Add column in Datasets. ### Environment info Google Colab, SageMaker Notebook
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load_dataset with data_dir and cache_dir set fail with not supported
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2024-05-08T19:52:35Z
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### Describe the bug with python 3.11 I execute: ```py from transformers import Wav2Vec2Processor, Data2VecAudioModel import torch from torch import nn from datasets import load_dataset, concatenate_datasets # load demo audio and set processor dataset_clean = load_dataset("librispeech_asr", "clean", split="validation", data_dir="data", cache_dir="cache") ``` This fails in the last line with ```log Found cached dataset librispeech_asr (file:///Users/as/Documents/Project/git/audio2vec/cache/librispeech_asr/clean-data_dir=data/2.1.0/cff5df6e7955c80a67f80e27e7e655de71c689e2d2364bece785b972acb37fe7) Traceback (most recent call last): File "/Users/as/Documents/Project/git/audio2vec/src/music2vec-v1.py", line 7, in <module> dataset_clean = load_dataset("librispeech_asr", "clean", split="validation", data_dir="data", cache_dir="cache") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/as/anaconda3/lib/python3.11/site-packages/datasets/load.py", line 1810, in load_dataset ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/as/anaconda3/lib/python3.11/site-packages/datasets/builder.py", line 1113, in as_dataset raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") NotImplementedError: Loading a dataset cached in a LocalFileSystem is not supported. ``` ### Steps to reproduce the bug I setup an venv with requirements.txt ```txt transformers==4.40.2 torch==2.2.2 datasets==2.16.0 fsspec==2023.9.2 ``` pip freeze is: ``` aiohttp==3.9.5 aiosignal==1.3.1 attrs==23.2.0 certifi==2024.2.2 charset-normalizer==3.3.2 datasets==2.16.0 dill==0.3.7 filelock==3.14.0 frozenlist==1.4.1 fsspec==2023.9.2 huggingface-hub==0.23.0 idna==3.7 Jinja2==3.1.4 MarkupSafe==2.1.5 mpmath==1.3.0 multidict==6.0.5 multiprocess==0.70.15 networkx==3.3 numpy==1.26.4 packaging==24.0 pandas==2.2.2 pyarrow==16.0.0 pyarrow-hotfix==0.6 python-dateutil==2.9.0.post0 pytz==2024.1 PyYAML==6.0.1 regex==2024.4.28 requests==2.31.0 safetensors==0.4.3 six==1.16.0 sympy==1.12 tokenizers==0.19.1 torch==2.2.2 tqdm==4.66.4 transformers==4.40.2 typing_extensions==4.11.0 tzdata==2024.1 urllib3==2.2.1 xxhash==3.4.1 yarl==1.9.4 ``` I execute this on a M1 Mac. ### Expected behavior I don't understand the error message. Why is "local" caching not supported. Would it possible to give some additional hint with the error message how to solve this issue? ### Environment info source .... python -u example.py
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Support jax 0.4.27 in CI tests
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2024-05-08T09:19:37Z
https://api.github.com/repos/huggingface/datasets/issues/6885/comments
Support jax 0.4.27 in CI tests by using jax Array `devices` method instead of `device` (which no longer exists). Fix #6884.
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CI is broken after jax-0.4.27 release: AttributeError: 'jaxlib.xla_extension.DeviceList' object has no attribute 'device'
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2024-05-08T07:01:47Z
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After jax-0.4.27 release (https://github.com/google/jax/releases/tag/jax-v0.4.27), our CI is broken with the error: ```Python traceback AttributeError: 'jaxlib.xla_extension.DeviceList' object has no attribute 'device'. Did you mean: 'devices'? ``` See: https://github.com/huggingface/datasets/actions/runs/8997488610/job/24715736153 ```Python traceback ___________________ FormatterTest.test_jax_formatter_device ____________________ [gw1] linux -- Python 3.10.14 /opt/hostedtoolcache/Python/3.10.14/x64/bin/python self = <tests.test_formatting.FormatterTest testMethod=test_jax_formatter_device> @require_jax def test_jax_formatter_device(self): import jax from datasets.formatting import JaxFormatter pa_table = self._create_dummy_table() device = jax.devices()[0] formatter = JaxFormatter(device=str(device)) row = formatter.format_row(pa_table) > assert row["a"].device() == device E AttributeError: 'jaxlib.xla_extension.DeviceList' object has no attribute 'device'. Did you mean: 'devices'? tests/test_formatting.py:630: AttributeError ```
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Require Pillow >= 9.4.0 to avoid AttributeError when loading image dataset
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2024-05-08T06:43:29Z
https://api.github.com/repos/huggingface/datasets/issues/6883/comments
Require Pillow >= 9.4.0 to avoid AttributeError when loading image dataset. The `PIL.Image.ExifTags` that we use in our code was implemented in Pillow-9.4.0: https://github.com/python-pillow/Pillow/commit/24a5405a9f7ea22f28f9c98b3e407292ea5ee1d3 The bug #6881 was introduced in datasets-2.19.0 by this PR: - #6739 Fix #6881.
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[ "Changing the supplier of the proxy will solve this problem, or you can visit and follow the instructions in https://hf-mirror.com " ]
Connection Error When Using By-pass Proxies
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2024-05-08T06:40:14Z
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### Describe the bug I'm currently using Clash for Windows as my proxy tunnel, after exporting HTTP_PROXY and HTTPS_PROXY to the port that clash provides🤔, it runs into a connection error saying "Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/2.19.1/metrics/seqeval/seqeval.py (ConnectionError(MaxRetryError("HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /huggingface/datasets/2.19.1/metrics/seqeval/seqeval.py (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f969d391870>: Failed to establish a new connection: [Errno 111] Connection refused'))")))" I have already read the documentation provided on the hugginface, but I think I didn't see the detailed instruction on how to set up proxies for this library. ### Steps to reproduce the bug 1. Turn on any proxy software like Clash / ShadosocksR etc. 2. export system varibles to the port provided by your proxy software in wsl (It's ok for other applications to use proxy expect dataset-library) 3. load any dataset from hugginface online ### Expected behavior --------------------------------------------------------------------------- ConnectionError Traceback (most recent call last) Cell In[33], [line 3](vscode-notebook-cell:?execution_count=33&line=3) [1](vscode-notebook-cell:?execution_count=33&line=1) from datasets import load_metric ----> [3](vscode-notebook-cell:?execution_count=33&line=3) metric = load_metric("seqeval") File ~/.local/lib/python3.10/site-packages/datasets/utils/deprecation_utils.py:46, in deprecated.<locals>.decorator.<locals>.wrapper(*args, **kwargs) [44](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/utils/deprecation_utils.py:44) warnings.warn(warning_msg, category=FutureWarning, stacklevel=2) [45](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/utils/deprecation_utils.py:45) _emitted_deprecation_warnings.add(func_hash) ---> [46](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/utils/deprecation_utils.py:46) return deprecated_function(*args, **kwargs) File ~/.local/lib/python3.10/site-packages/datasets/load.py:2104, in load_metric(path, config_name, process_id, num_process, cache_dir, experiment_id, keep_in_memory, download_config, download_mode, revision, trust_remote_code, **metric_init_kwargs) [2101](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2101) warnings.filterwarnings("ignore", message=".*https://huggingface.co/docs/evaluate$", category=FutureWarning) [2103](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2103) download_mode = DownloadMode(download_mode or DownloadMode.REUSE_DATASET_IF_EXISTS) -> [2104](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2104) metric_module = metric_module_factory( [2105](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2105) path, [2106](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2106) revision=revision, [2107](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2107) download_config=download_config, [2108](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2108) download_mode=download_mode, [2109](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2109) trust_remote_code=trust_remote_code, [2110](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2110) ).module_path [2111](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2111) metric_cls = import_main_class(metric_module, dataset=False) [2112](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2112) metric = metric_cls( [2113](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2113) config_name=config_name, [2114](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/load.py:2114) process_id=process_id, ... --> [633](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/utils/file_utils.py:633) raise ConnectionError(f"Couldn't reach {url} ({repr(head_error)})") [634](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/utils/file_utils.py:634) elif response is not None: [635](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/noodle/Transformers-Tutorials/LayoutLMv3/~/.local/lib/python3.10/site-packages/datasets/utils/file_utils.py:635) raise ConnectionError(f"Couldn't reach {url} (error {response.status_code})") ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/2.19.1/metrics/seqeval/seqeval.py (SSLError(MaxRetryError("HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /huggingface/datasets/2.19.1/metrics/seqeval/seqeval.py (Caused by SSLError(SSLEOFError(8, '[SSL: UNEXPECTED_EOF_WHILE_READING] EOF occurred in violation of protocol (_ssl.c:1007)')))"))) ### Environment info - `datasets` version: 2.19.1 - Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 - Python version: 3.10.12 - `huggingface_hub` version: 0.23.0 - PyArrow version: 16.0.0 - Pandas version: 2.2.2 - `fsspec` version: 2024.2.0
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https://github.com/huggingface/datasets/issues/6881
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[ "@albertvillanova @lhoestq just ran into it and requiring newer pillow isn't a solution as it breaks Pillow-SIMD which is behind Pillow quite a few versions but necessary for training with reasonable throughput. \r\n\r\nA couple things here... \r\n\r\n1. This can be done with a method that isn't an issue for any so...
AttributeError: module 'PIL.Image' has no attribute 'ExifTags'
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2024-05-08T06:33:57Z
https://api.github.com/repos/huggingface/datasets/issues/6881/comments
When trying to load an image dataset in an old Python environment (with Pillow-8.4.0), an error is raised: ```Python traceback AttributeError: module 'PIL.Image' has no attribute 'ExifTags' ``` The error traceback: ```Python traceback ~/huggingface/datasets/src/datasets/iterable_dataset.py in __iter__(self) 1391 # `IterableDataset` automatically fills missing columns with None. 1392 # This is done with `_apply_feature_types_on_example`. -> 1393 example = _apply_feature_types_on_example( 1394 example, self.features, token_per_repo_id=self._token_per_repo_id 1395 ) ~/huggingface/datasets/src/datasets/iterable_dataset.py in _apply_feature_types_on_example(example, features, token_per_repo_id) 1080 encoded_example = features.encode_example(example) 1081 # Decode example for Audio feature, e.g. -> 1082 decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id) 1083 return decoded_example 1084 ~/huggingface/datasets/src/datasets/features/features.py in decode_example(self, example, token_per_repo_id) 1974 -> 1975 return { 1976 column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id) 1977 if self._column_requires_decoding[column_name] ~/huggingface/datasets/src/datasets/features/features.py in <dictcomp>(.0) 1974 1975 return { -> 1976 column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id) 1977 if self._column_requires_decoding[column_name] 1978 else value ~/huggingface/datasets/src/datasets/features/features.py in decode_nested_example(schema, obj, token_per_repo_id) 1339 # we pass the token to read and decode files from private repositories in streaming mode 1340 if obj is not None and schema.decode: -> 1341 return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) 1342 return obj 1343 ~/huggingface/datasets/src/datasets/features/image.py in decode_example(self, value, token_per_repo_id) 187 image = PIL.Image.open(BytesIO(bytes_)) 188 image.load() # to avoid "Too many open files" errors --> 189 if image.getexif().get(PIL.Image.ExifTags.Base.Orientation) is not None: 190 image = PIL.ImageOps.exif_transpose(image) 191 if self.mode and self.mode != image.mode: ~/huggingface/datasets/venv/lib/python3.9/site-packages/PIL/Image.py in __getattr__(name) 75 ) 76 return categories[name] ---> 77 raise AttributeError(f"module '{__name__}' has no attribute '{name}'") 78 79 AttributeError: module 'PIL.Image' has no attribute 'ExifTags' ``` ### Environment info Since datasets 2.19.0
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[ "The error is caused by malformed basenames of the files within the TARs:\r\n- `15_Cohen_1-s2.0-S0929664620300449-gr3_lrg-b.png` becomes `15_Cohen_1-s2` as the grouping `__key__`, and `0-S0929664620300449-gr3_lrg-b.png` as the additional key to be added to the example\r\n- whereas the intended behavior was to use `...
Webdataset: KeyError: 'png' on some datasets when streaming
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2024-05-07T13:09:02Z
https://api.github.com/repos/huggingface/datasets/issues/6880/comments
reported at https://huggingface.co/datasets/tbone5563/tar_images/discussions/1 ```python >>> from datasets import load_dataset >>> ds = load_dataset("tbone5563/tar_images") Downloading data: 100%  1.41G/1.41G [00:48<00:00, 17.2MB/s] Downloading data: 100%  619M/619M [00:11<00:00, 57.4MB/s] Generating train split:   970/0 [00:02<00:00, 534.94 examples/s] --------------------------------------------------------------------------- KeyError Traceback (most recent call last) [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id) 1747 _time = time.time() -> 1748 for key, record in generator: 1749 if max_shard_size is not None and writer._num_bytes > max_shard_size: 7 frames [/usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/webdataset/webdataset.py](https://localhost:8080/#) in _generate_examples(self, tar_paths, tar_iterators) 108 for field_name in image_field_names + audio_field_names: --> 109 example[field_name] = {"path": example["__key__"] + "." + field_name, "bytes": example[field_name]} 110 yield f"{tar_idx}_{example_idx}", example KeyError: 'png' The above exception was the direct cause of the following exception: DatasetGenerationError Traceback (most recent call last) [<ipython-input-2-8e0fbb7badc9>](https://localhost:8080/#) in <cell line: 3>() 1 from datasets import load_dataset 2 ----> 3 ds = load_dataset("tbone5563/tar_images") [/usr/local/lib/python3.10/dist-packages/datasets/load.py](https://localhost:8080/#) in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs) 2607 2608 # Download and prepare data -> 2609 builder_instance.download_and_prepare( 2610 download_config=download_config, 2611 download_mode=download_mode, [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs) 1025 if num_proc is not None: 1026 prepare_split_kwargs["num_proc"] = num_proc -> 1027 self._download_and_prepare( 1028 dl_manager=dl_manager, 1029 verification_mode=verification_mode, [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs) 1787 1788 def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs): -> 1789 super()._download_and_prepare( 1790 dl_manager, 1791 verification_mode, [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs) 1120 try: 1121 # Prepare split will record examples associated to the split -> 1122 self._prepare_split(split_generator, **prepare_split_kwargs) 1123 except OSError as e: 1124 raise OSError( [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size) 1625 job_id = 0 1626 with pbar: -> 1627 for job_id, done, content in self._prepare_split_single( 1628 gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args 1629 ): [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id) 1782 if isinstance(e, SchemaInferenceError) and e.__context__ is not None: 1783 e = e.__context__ -> 1784 raise DatasetGenerationError("An error occurred while generating the dataset") from e 1785 1786 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths) DatasetGenerationError: An error occurred while generating the dataset ```
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https://github.com/huggingface/datasets/issues/6879
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Batched mapping does not raise an error if values for an existing column are empty
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2024-05-07T11:02:40Z
https://api.github.com/repos/huggingface/datasets/issues/6879/comments
### Describe the bug Using `Dataset.map(fn, batched=True)` allows resizing the dataset by returning a dict of lists, all of which must be the same size. If they are not the same size, an error like `pyarrow.lib.ArrowInvalid: Column 1 named x expected length 1 but got length 0` is raised. This is not the case if the function returns an empty list for an existing column in the dataset. In that case, the dataset is silently resized to 0 rows. ### Steps to reproduce the bug MWE: ``` import datasets data = datasets.Dataset.from_dict({"test": [1]}) def mapping_fn(examples): return {"test": [], "y": [1]} data = data.map(mapping_fn, batched=True) print(len(data)) ``` Note that when returning `"x": []`, the error is raised correctly, also when returning `"test": [1,2]`. ### Expected behavior Expected an exception: `pyarrow.lib.ArrowInvalid: Column 1 named test expected length 1 but got length 0` or `pyarrow.lib.ArrowInvalid: Column 2 named y expected length 0 but got length 1`. Any exception would be acceptable. ### Environment info - `datasets` version: 2.19.1 - Platform: Linux-5.4.0-153-generic-x86_64-with-glibc2.31 - Python version: 3.11.8 - `huggingface_hub` version: 0.22.2 - PyArrow version: 15.0.2 - Pandas version: 2.2.1 - `fsspec` version: 2024.2.0
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2024-05-16T14:46:44Z
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Create function to convert to parquet
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PR_kwDODunzps5uviBh
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2024-05-07T10:27:07Z
https://api.github.com/repos/huggingface/datasets/issues/6878/comments
Analogously with `delete_from_hub`, this PR: - creates the Python function `convert_to_parquet` - makes the corresponding CLI command use that function. This way, the functionality can be used both from a terminal and from a Python console. This PR also implements a test for convert_to_parquet function.
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2024-06-02T14:22:23Z
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[ "ulimit -n 8192 can solve this problem", "> ulimit -n 8192 can solve this problem\r\n\r\nWould there be a systematic way to do this ? The data loading is part of the [MTEB](https://github.com/embeddings-benchmark/mteb) library", "> > ulimit -n 8192 can solve this problem\r\n> \r\n> Would there be a systematic w...
OSError: [Errno 24] Too many open files
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I_kwDODunzps6IBZlx
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2024-05-07T01:15:09Z
https://api.github.com/repos/huggingface/datasets/issues/6877/comments
### Describe the bug I am trying to load the 'default' subset of the following dataset which contains lots of files (828 per split): [https://huggingface.co/datasets/mteb/biblenlp-corpus-mmteb](https://huggingface.co/datasets/mteb/biblenlp-corpus-mmteb) When trying to load it using the `load_dataset` function I get the following error ```python >>> from datasets import load_dataset >>> d = load_dataset('mteb/biblenlp-corpus-mmteb') Downloading readme: 100%|████████████████████████████████████████████████████████████████████████| 201k/201k [00:00<00:00, 1.07MB/s] Resolving data files: 100%|█████████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 1069.15it/s] Resolving data files: 100%|███████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 436182.33it/s] Resolving data files: 100%|█████████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 2228.75it/s] Resolving data files: 100%|███████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 646478.73it/s] Resolving data files: 100%|███████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 831032.24it/s] Resolving data files: 100%|███████████████████████████████████████████████████████████████████| 828/828 [00:00<00:00, 517645.51it/s] Downloading data: 100%|████████████████████████████████████████████████████████████████████████| 828/828 [00:33<00:00, 24.87files/s] Downloading data: 100%|████████████████████████████████████████████████████████████████████████| 828/828 [00:30<00:00, 27.48files/s] Downloading data: 100%|████████████████████████████████████████████████████████████████████████| 828/828 [00:30<00:00, 26.94files/s] Generating train split: 1571592 examples [00:03, 461438.97 examples/s] Generating test split: 11163 examples [00:00, 118190.72 examples/s] Traceback (most recent call last): File ".env/lib/python3.12/site-packages/datasets/builder.py", line 1995, in _prepare_split_single for _, table in generator: File ".env/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 99, in _generate_tables with open(file, "rb") as f: ^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/datasets/streaming.py", line 75, in wrapper return function(*args, download_config=download_config, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1224, in xopen file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/fsspec/core.py", line 135, in open return self.__enter__() ^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/fsspec/core.py", line 103, in __enter__ f = self.fs.open(self.path, mode=mode) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/fsspec/spec.py", line 1293, in open f = self._open( ^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/datasets/filesystems/compression.py", line 81, in _open return self.file.open() ^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/fsspec/core.py", line 135, in open return self.__enter__() ^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/fsspec/core.py", line 103, in __enter__ f = self.fs.open(self.path, mode=mode) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/fsspec/spec.py", line 1293, in open f = self._open( ^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/fsspec/implementations/local.py", line 197, in _open return LocalFileOpener(path, mode, fs=self, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ".env/lib/python3.12/site-packages/fsspec/implementations/local.py", line 322, in __init__ self._open() File ".env/lib/python3.12/site-packages/fsspec/implementations/local.py", line 327, in _open self.f = open(self.path, mode=self.mode) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: [Errno 24] Too many open files: '.cache/huggingface/datasets/downloads/3a347186abfc0f9c924dde0221d246db758c7232c0101523f04a87c17d696618' The above exception was the direct cause of the following exception: Traceback (most recent call last): File ".env/lib/python3.12/site-packages/datasets/builder.py", line 981, in incomplete_dir yield tmp_dir File ".env/lib/python3.12/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File ".env/lib/python3.12/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File ".env/lib/python3.12/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File ".env/lib/python3.12/site-packages/datasets/builder.py", line 2038, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<stdin>", line 1, in <module> File ".env/lib/python3.12/site-packages/datasets/load.py", line 2609, in load_dataset builder_instance.download_and_prepare( File ".env/lib/python3.12/site-packages/datasets/builder.py", line 1007, in download_and_prepare with incomplete_dir(self._output_dir) as tmp_output_dir: File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__ self.gen.throw(value) File ".env/lib/python3.12/site-packages/datasets/builder.py", line 988, in incomplete_dir shutil.rmtree(tmp_dir) File "/usr/lib/python3.12/shutil.py", line 785, in rmtree _rmtree_safe_fd(fd, path, onexc) File "/usr/lib/python3.12/shutil.py", line 661, in _rmtree_safe_fd onexc(os.scandir, path, err) File "/usr/lib/python3.12/shutil.py", line 657, in _rmtree_safe_fd with os.scandir(topfd) as scandir_it: ^^^^^^^^^^^^^^^^^ OSError: [Errno 24] Too many open files: '.cache/huggingface/datasets/mteb___biblenlp-corpus-mmteb/default/0.0.0/3912ed967b0834547f35b2da9470c4976b357c9a.incomplete' ``` I looked for the maximum number of open files on my machine (Ubuntu 24.04) and it seems to be 1024, but even when I try to load a single split (`load_dataset('mteb/biblenlp-corpus-mmteb', split='train')`) I get the same error ### Steps to reproduce the bug ```python from datasets import load_dataset d = load_dataset('mteb/biblenlp-corpus-mmteb') ``` ### Expected behavior Load the dataset without error ### Environment info - `datasets` version: 2.19.0 - Platform: Linux-6.8.0-31-generic-x86_64-with-glibc2.39 - Python version: 3.12.3 - `huggingface_hub` version: 0.23.0 - PyArrow version: 16.0.0 - Pandas version: 2.2.2 - `fsspec` version: 2024.3.1
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Unpin hfh
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PR_kwDODunzps5uqs46
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2024-05-06T18:10:49Z
https://api.github.com/repos/huggingface/datasets/issues/6876/comments
Needed to use those in dataset-viewer: - dev version of hfh https://github.com/huggingface/dataset-viewer/pull/2781: don't span the hub with /paths-info requests - dev version of datasets at https://github.com/huggingface/datasets/pull/6875: don't write too big logs in the viewer close https://github.com/huggingface/datasets/issues/6863
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Shorten long logs
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PR_kwDODunzps5uqoJ_
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2024-05-06T17:57:07Z
https://api.github.com/repos/huggingface/datasets/issues/6875/comments
Some datasets may have unexpectedly long features/types (e.g. if the files are not formatted correctly). In that case we should still be able to log something readable
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Use pandas ujson in JSON loader to improve performance
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2024-05-06T12:01:27Z
https://api.github.com/repos/huggingface/datasets/issues/6874/comments
Use pandas ujson in JSON loader to improve performance. Note that `datasets` has `pandas` as required dependency. And `pandas` includes `ujson` in `pd.io.json.ujson_loads`. Fix #6867. CC: @natolambert
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Set dev version
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Fix download for dict of dicts of URLs
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2024-05-06T06:06:52Z
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Fix download for a dict of dicts of URLs when batched (default), introduced by: - #6794 This PR also implements regression tests. Fix #6869, fix #6850.
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Update tqdm >= 4.66.3 to fix vulnerability
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2024-05-06T05:49:36Z
https://api.github.com/repos/huggingface/datasets/issues/6870/comments
Update tqdm >= 4.66.3 to fix vulnerability,
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Download is broken for dict of dicts: FileNotFoundError
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It seems there is a bug when downloading a dict of dicts of URLs introduced by: - #6794 ## Steps to reproduce the bug: ```python from datasets import DownloadManager dl_manager = DownloadManager() paths = dl_manager.download({"train": {"frr": "hf://datasets/wikimedia/wikipedia/20231101.frr/train-00000-of-00001.parquet"}}) ``` Stack trace: ``` --------------------------------------------------------------------------- FileNotFoundError Traceback (most recent call last) <ipython-input-7-0e0d76d25b09> in <module> ----> 1 paths = dl_manager.download({"train": {"frr": "hf://datasets/wikimedia/wikipedia/20231101.frr/train-00000-of-00001.parquet"}}) .../huggingface/datasets/src/datasets/download/download_manager.py in download(self, url_or_urls) 255 start_time = datetime.now() 256 with stack_multiprocessing_download_progress_bars(): --> 257 downloaded_path_or_paths = map_nested( 258 download_func, 259 url_or_urls, .../huggingface/datasets/src/datasets/utils/py_utils.py in map_nested(function, data_struct, dict_only, map_list, map_tuple, map_numpy, num_proc, parallel_min_length, batched, batch_size, types, disable_tqdm, desc) 506 batch_size = max(len(iterable) // num_proc + int(len(iterable) % num_proc > 0), 1) 507 iterable = list(iter_batched(iterable, batch_size)) --> 508 mapped = [ 509 _single_map_nested((function, obj, batched, batch_size, types, None, True, None)) 510 for obj in hf_tqdm(iterable, disable=disable_tqdm, desc=desc) .../huggingface/datasets/src/datasets/utils/py_utils.py in <listcomp>(.0) 507 iterable = list(iter_batched(iterable, batch_size)) 508 mapped = [ --> 509 _single_map_nested((function, obj, batched, batch_size, types, None, True, None)) 510 for obj in hf_tqdm(iterable, disable=disable_tqdm, desc=desc) 511 ] .../huggingface/datasets/src/datasets/utils/py_utils.py in _single_map_nested(args) 375 and all(not isinstance(v, types) for v in data_struct) 376 ): --> 377 return [mapped_item for batch in iter_batched(data_struct, batch_size) for mapped_item in function(batch)] 378 379 # Reduce logging to keep things readable in multiprocessing with tqdm .../huggingface/datasets/src/datasets/utils/py_utils.py in <listcomp>(.0) 375 and all(not isinstance(v, types) for v in data_struct) 376 ): --> 377 return [mapped_item for batch in iter_batched(data_struct, batch_size) for mapped_item in function(batch)] 378 379 # Reduce logging to keep things readable in multiprocessing with tqdm .../huggingface/datasets/src/datasets/download/download_manager.py in _download_batched(self, url_or_filenames, download_config) 311 ) 312 else: --> 313 return [ 314 self._download_single(url_or_filename, download_config=download_config) 315 for url_or_filename in url_or_filenames .../huggingface/datasets/src/datasets/download/download_manager.py in <listcomp>(.0) 312 else: 313 return [ --> 314 self._download_single(url_or_filename, download_config=download_config) 315 for url_or_filename in url_or_filenames 316 ] .../huggingface/datasets/src/datasets/download/download_manager.py in _download_single(self, url_or_filename, download_config) 321 # append the relative path to the base_path 322 url_or_filename = url_or_path_join(self._base_path, url_or_filename) --> 323 out = cached_path(url_or_filename, download_config=download_config) 324 out = tracked_str(out) 325 out.set_origin(url_or_filename) .../huggingface/datasets/src/datasets/utils/file_utils.py in cached_path(url_or_filename, download_config, **download_kwargs) 220 elif is_local_path(url_or_filename): 221 # File, but it doesn't exist. --> 222 raise FileNotFoundError(f"Local file {url_or_filename} doesn't exist") 223 else: 224 # Something unknown FileNotFoundError: Local file .../huggingface/datasets/{'frr': 'hf:/datasets/wikimedia/wikipedia/20231101.frr/train-00000-of-00001.parquet'} doesn't exist ``` Related to: - #6850
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[ "I guess the issue is caused by the customization of BuilderConfig that you use from the repo [https://github.com/BeyonderXX/InstructUIE](https://github.com/BeyonderXX/InstructUIE/blob/master/src/uie_dataset.py). You should report to them.\r\n\r\nI see you already opened an issue in their repo:\r\n- https://github....
datasets.BuilderConfig does not work.
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https://api.github.com/repos/huggingface/datasets/issues/6868/comments
### Describe the bug I custom a BuilderConfig and GeneratorBasedBuilder. Here is the code for BuilderConfig ``` class UIEConfig(datasets.BuilderConfig): def __init__( self, *args, data_dir=None, instruction_file=None, instruction_strategy=None, task_config_dir=None, num_examples=None, max_num_instances_per_task=None, max_num_instances_per_eval_task=None, over_sampling=None, **kwargs ): super().__init__(*args, **kwargs) self.data_dir = data_dir self.num_examples = num_examples self.over_sampling = over_sampling self.instructions = self._parse_instruction(instruction_file) self.task_configs = self._parse_task_config(task_config_dir) self.instruction_strategy = instruction_strategy self.max_num_instances_per_task = max_num_instances_per_task self.max_num_instances_per_eval_task = max_num_instances_per_eval_task ``` Besides, here is the code for GeneratorBasedBuilder. ``` class UIEInstructions(datasets.GeneratorBasedBuilder): VERSION = datasets.Version("2.0.0") BUILDER_CONFIG_CLASS = UIEConfig BUILDER_CONFIGS = [ UIEConfig(name="default", description="Default config for NaturalInstructions") ] DEFAULT_CONFIG_NAME = "default" ``` Here is the load_dataset ``` raw_datasets = load_dataset( os.path.join(CURRENT_DIR, "uie_dataset.py"), data_dir=data_args.data_dir, task_config_dir=data_args.task_config_dir, instruction_file=data_args.instruction_file, instruction_strategy=data_args.instruction_strategy, cache_dir=data_cache_dir, # for debug, change dataset size, otherwise open it max_num_instances_per_task=data_args.max_num_instances_per_task, max_num_instances_per_eval_task=data_args.max_num_instances_per_eval_task, num_examples=data_args.num_examples, over_sampling=data_args.over_sampling ) ``` Finally, I met the error. ``` BuilderConfig UIEConfig(name='default', version=0.0.0, data_dir=None, data_files=None, description='Default config for NaturalInstructions') doesn't have a 'task_config_dir' key. ``` I debugged the code, but I find the parameters added by me may not work. ### Steps to reproduce the bug https://github.com/BeyonderXX/InstructUIE/blob/master/src/uie_dataset.py ### Expected behavior ``` BuilderConfig UIEConfig(name='default', version=0.0.0, data_dir=None, data_files=None, description='Default config for NaturalInstructions') doesn't have a 'task_config_dir' key. ``` ### Environment info torch 2.3.0+cu118 transformers 4.40.1 python 3.8
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[ "Thanks! Feel free to ping me for examples. May not respond immediately because we're all busy but would like to help.", "Hi @natolambert, could you please give some examples of JSON files to benchmark?\r\n\r\nPlease note that this JSON file (https://huggingface.co/datasets/allenai/reward-bench-results/blob/main/...
Improve performance of JSON loader
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2024-05-04T15:04:16Z
https://api.github.com/repos/huggingface/datasets/issues/6867/comments
As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance. The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706983714 > There are benchmarks that compare different JSON packages, with the Standard Library one among the worst performant: > - https://github.com/ultrajson/ultrajson#benchmarks > - https://github.com/ijl/orjson#performance I remember having a discussion about this and it was decided that it was better not to include an additional dependency on a 3rd-party library. However: - We already depend on `pandas` and `pandas` depends on `ujson`: so we have an indirect dependency on `ujson` - Even if the above were not the case, we always could include `ujson` as an optional extra dependency, and check at runtime if it is installed to decide which library to use, either json or ujson
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[ "Potentially related:\r\n* #6864\r\n* #6850\r\n* #6848\r\n* #6819", "Hi @jerome-white, thnaks for reporting.\r\n\r\nHowever, I cannot reproduce your issue:\r\n```python\r\n>>> from datasets import get_dataset_config_names\r\n\r\n>>> get_dataset_config_names(\"open-llm-leaderboard/details_davidkim205__Rhea-72b-v0....
DataFilesNotFoundError for datasets in the open-llm-leaderboard
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I_kwDODunzps6H0sFd
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2024-05-04T04:59:00Z
https://api.github.com/repos/huggingface/datasets/issues/6866/comments
### Describe the bug When trying to get config names or load any dataset within the open-llm-leaderboard ecosystem (`open-llm-leaderboard/details_`) I receive the DataFilesNotFoundError. For the last month or so I've been loading datasets from the leaderboard almost everyday; yesterday was the first time I started seeing this. ### Steps to reproduce the bug This snippet has three cells: 1. Loads the modules 2. Tries to get config names 3. Tries to load the dataset I've chosen "davidkim205"'s Rhea-72b-v0.5 model because it is one of the best performers on the leaderboard should likely have no dataset issues: ```python In [1]: from datasets import load_dataset, get_dataset_config_names In [2]: get_dataset_config_names("open-llm-leaderboard/details_davidkim205__Rhea ...: -72b-v0.5") --------------------------------------------------------------------------- DataFilesNotFoundError Traceback (most recent call last) Cell In[2], line 1 ----> 1 get_dataset_config_names("open-llm-leaderboard/details_davidkim205__Rhea-72b-v0.5") File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/inspect.py:347, in get_dataset_config_names(path, revision, download_config, download_mode, dynamic_modules_path, data_files, **download_kwargs) 291 def get_dataset_config_names( 292 path: str, 293 revision: Optional[Union[str, Version]] = None, (...) 298 **download_kwargs, 299 ): 300 """Get the list of available config names for a particular dataset. 301 302 Args: (...) 345 ``` 346 """ --> 347 dataset_module = dataset_module_factory( 348 path, 349 revision=revision, 350 download_config=download_config, 351 download_mode=download_mode, 352 dynamic_modules_path=dynamic_modules_path, 353 data_files=data_files, 354 **download_kwargs, 355 ) 356 builder_cls = get_dataset_builder_class(dataset_module, dataset_name=os.path.basename(path)) 357 return list(builder_cls.builder_configs.keys()) or [ 358 dataset_module.builder_kwargs.get("config_name", builder_cls.DEFAULT_CONFIG_NAME or "default") 359 ] File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/load.py:1821, in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, cache_dir, trust_remote_code, _require_default_config_name, _require_custom_configs, **download_kwargs) 1812 return LocalDatasetModuleFactoryWithScript( 1813 combined_path, 1814 download_mode=download_mode, 1815 dynamic_modules_path=dynamic_modules_path, 1816 trust_remote_code=trust_remote_code, 1817 ).get_module() 1818 elif os.path.isdir(path): 1819 return LocalDatasetModuleFactoryWithoutScript( 1820 path, data_dir=data_dir, data_files=data_files, download_mode=download_mode -> 1821 ).get_module() 1822 # Try remotely 1823 elif is_relative_path(path) and path.count("/") <= 1: File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/load.py:1039, in LocalDatasetModuleFactoryWithoutScript.get_module(self) 1033 patterns = get_data_patterns(base_path) 1034 data_files = DataFilesDict.from_patterns( 1035 patterns, 1036 base_path=base_path, 1037 allowed_extensions=ALL_ALLOWED_EXTENSIONS, 1038 ) -> 1039 module_name, default_builder_kwargs = infer_module_for_data_files( 1040 data_files=data_files, 1041 path=self.path, 1042 ) 1043 data_files = data_files.filter_extensions(_MODULE_TO_EXTENSIONS[module_name]) 1044 # Collect metadata files if the module supports them File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/load.py:597, in infer_module_for_data_files(data_files, path, download_config) 595 raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}") 596 if not module_name: --> 597 raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else "")) 598 return module_name, default_builder_kwargs DataFilesNotFoundError: No (supported) data files found in open-llm-leaderboard/details_davidkim205__Rhea-72b-v0.5 In [3]: data = load_dataset("open-llm-leaderboard/details_davidkim205__Rhea-72b- ...: v0.5", "harness_winogrande_5") --------------------------------------------------------------------------- DataFilesNotFoundError Traceback (most recent call last) Cell In[3], line 1 ----> 1 data = load_dataset("open-llm-leaderboard/details_davidkim205__Rhea-72b-v0.5", "harness_winogrande_5") File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/load.py:2587, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs) 2582 verification_mode = VerificationMode( 2583 (verification_mode or VerificationMode.BASIC_CHECKS) if not save_infos else VerificationMode.ALL_CHECKS 2584 ) 2586 # Create a dataset builder -> 2587 builder_instance = load_dataset_builder( 2588 path=path, 2589 name=name, 2590 data_dir=data_dir, 2591 data_files=data_files, 2592 cache_dir=cache_dir, 2593 features=features, 2594 download_config=download_config, 2595 download_mode=download_mode, 2596 revision=revision, 2597 token=token, 2598 storage_options=storage_options, 2599 trust_remote_code=trust_remote_code, 2600 _require_default_config_name=name is None, 2601 **config_kwargs, 2602 ) 2604 # Return iterable dataset in case of streaming 2605 if streaming: File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/load.py:2259, in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, use_auth_token, storage_options, trust_remote_code, _require_default_config_name, **config_kwargs) 2257 download_config = download_config.copy() if download_config else DownloadConfig() 2258 download_config.storage_options.update(storage_options) -> 2259 dataset_module = dataset_module_factory( 2260 path, 2261 revision=revision, 2262 download_config=download_config, 2263 download_mode=download_mode, 2264 data_dir=data_dir, 2265 data_files=data_files, 2266 cache_dir=cache_dir, 2267 trust_remote_code=trust_remote_code, 2268 _require_default_config_name=_require_default_config_name, 2269 _require_custom_configs=bool(config_kwargs), 2270 ) 2271 # Get dataset builder class from the processing script 2272 builder_kwargs = dataset_module.builder_kwargs File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/load.py:1821, in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, cache_dir, trust_remote_code, _require_default_config_name, _require_custom_configs, **download_kwargs) 1812 return LocalDatasetModuleFactoryWithScript( 1813 combined_path, 1814 download_mode=download_mode, 1815 dynamic_modules_path=dynamic_modules_path, 1816 trust_remote_code=trust_remote_code, 1817 ).get_module() 1818 elif os.path.isdir(path): 1819 return LocalDatasetModuleFactoryWithoutScript( 1820 path, data_dir=data_dir, data_files=data_files, download_mode=download_mode -> 1821 ).get_module() 1822 # Try remotely 1823 elif is_relative_path(path) and path.count("/") <= 1: File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/load.py:1039, in LocalDatasetModuleFactoryWithoutScript.get_module(self) 1033 patterns = get_data_patterns(base_path) 1034 data_files = DataFilesDict.from_patterns( 1035 patterns, 1036 base_path=base_path, 1037 allowed_extensions=ALL_ALLOWED_EXTENSIONS, 1038 ) -> 1039 module_name, default_builder_kwargs = infer_module_for_data_files( 1040 data_files=data_files, 1041 path=self.path, 1042 ) 1043 data_files = data_files.filter_extensions(_MODULE_TO_EXTENSIONS[module_name]) 1044 # Collect metadata files if the module supports them File ~/open-llm-bda/venv/lib/python3.11/site-packages/datasets/load.py:597, in infer_module_for_data_files(data_files, path, download_config) 595 raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}") 596 if not module_name: --> 597 raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else "")) 598 return module_name, default_builder_kwargs DataFilesNotFoundError: No (supported) data files found in open-llm-leaderboard/details_davidkim205__Rhea-72b-v0.5 ``` ### Expected behavior No exceptions from `get_dataset_config_names` or `load_dataset` ### Environment info - `datasets` version: 2.19.0 - Platform: Linux-6.5.0-1018-aws-aarch64-with-glibc2.35 - Python version: 3.11.8 - `huggingface_hub` version: 0.23.0 - PyArrow version: 16.0.0 - Pandas version: 2.2.2 - `fsspec` version: 2024.3.1
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Example on Semantic segmentation contains bug
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I_kwDODunzps6HvOoA
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### Describe the bug https://huggingface.co/docs/datasets/en/semantic_segmentation shows wrong example with torchvision transforms. Specifically, as one can see in screenshot below, the object boundaries have weird colors. <img width="689" alt="image" src="https://github.com/huggingface/datasets/assets/4803565/59aa0e2c-2e3e-415b-9d42-2314044c5aee"> Original example with `albumentations` is correct <img width="705" alt="image" src="https://github.com/huggingface/datasets/assets/4803565/27dbd725-cea5-4e48-ba59-7050c3ce17b3"> That is because `torch vision.transforms.Resize` interpolates with bilinear everything which is wrong when used for segmentation labels - you just cannot mix them. Overall, `torchvision.transforms` is designed for classification only and cannot be used to images and masks together, unless you write two separate branches of augmentations. The correct way would be to use `v2` version of transforms and convert the segmentation labels to https://pytorch.org/vision/main/generated/torchvision.tv_tensors.Mask.html#torchvision.tv_tensors.Mask object ### Steps to reproduce the bug Go to the website. <img width="689" alt="image" src="https://github.com/huggingface/datasets/assets/4803565/ea1276d0-d69a-48cf-b9c2-cd61217815ef"> https://huggingface.co/docs/datasets/en/semantic_segmentation ### Expected behavior Results, similar to `albumentation`. Or remove the torch vision part altogether. Or use `kornia` instead. ### Environment info Irrelevant
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[ "Hi @vinodrajendran001, thanks for reporting.\r\n\r\nIndeed the dataset no longer exists on the Hub. The URL https://huggingface.co/datasets/rewardsignal/reddit_writing_prompts gives 404 Not Found error." ]
Dataset 'rewardsignal/reddit_writing_prompts' doesn't exist on the Hub
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2024-05-03T06:03:30Z
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### Describe the bug The dataset `rewardsignal/reddit_writing_prompts` is missing in Huggingface Hub. ### Steps to reproduce the bug ``` from datasets import load_dataset prompt_response_dataset = load_dataset("rewardsignal/reddit_writing_prompts", data_files="prompt_responses_full.csv", split='train[:80%]') ``` ### Expected behavior DatasetNotFoundError: Dataset 'rewardsignal/reddit_writing_prompts' doesn't exist on the Hub or cannot be accessed ### Environment info Nothing to do with versions
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Revert temporary pin huggingface-hub < 0.23.0
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2024-05-03T05:53:55Z
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Revert temporary pin huggingface-hub < 0.23.0 introduced by - #6861 once the following issue is fixed and released: - huggingface/transformers#30618
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https://github.com/huggingface/datasets/pull/6862
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6862). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>...
Fix load_dataset for data_files with protocols other than HF
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2024-05-03T01:43:47Z
https://api.github.com/repos/huggingface/datasets/issues/6862/comments
Fixes huggingface/datasets/issues/6598 I've added a new test case and a solution. Before applying the solution the test case was failing with the same error described in the linked issue. MRE: ``` pip install "datasets[s3]" python -c "from datasets import load_dataset; load_dataset('csv', data_files={'train': 's3://noaa-gsod-pds/2024/A5125600451.csv'})" ```
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Fix CI by temporarily pinning huggingface-hub < 0.23.0
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2024-05-02T16:40:04Z
https://api.github.com/repos/huggingface/datasets/issues/6861/comments
As a hotfix for CI, temporarily pin `huggingface-hub` upper version Fix #6860. Revert once root cause is fixed, see: - https://github.com/huggingface/transformers/issues/30618
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[ "I think this needs to be fixed on transformers.\r\n\r\nCC: @Wauplin ", "See:\r\n- https://github.com/huggingface/transformers/issues/30618", "Opened https://github.com/huggingface/transformers/pull/30620" ]
CI fails after huggingface_hub-0.23.0 release: FutureWarning: "resume_download"
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CI fails after latest huggingface_hub-0.23.0 release: https://github.com/huggingface/huggingface_hub/releases/tag/v0.23.0 ``` FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_bertscore - FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore - FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_perplexity - FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. FAILED tests/test_fingerprint.py::TokenizersHashTest::test_hash_tokenizer - FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. FAILED tests/test_fingerprint.py::TokenizersHashTest::test_hash_tokenizer_with_cache - FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. FAILED tests/test_arrow_dataset.py::MiscellaneousDatasetTest::test_set_format_encode - FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. ```
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Support folder-based datasets with large metadata.jsonl
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2024-05-02T09:07:26Z
https://api.github.com/repos/huggingface/datasets/issues/6859/comments
I tried creating an `imagefolder` dataset with a 714MB `metadata.jsonl` but got the error below. This pull request fixes the problem by increasing the block size like the message suggests. ``` >>> from datasets import load_dataset >>> dataset = load_dataset("imagefolder", data_dir="data-for-upload") Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/path/to/datasets/load.py", line 2609, in load_dataset builder_instance.download_and_prepare( ... File "/path/to/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 245, in _read_metadata return paj.read_json(f) File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: straddling object straddles two block boundaries (try to increase block size?) ```
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[ "I downloaded the jsonl file and extract it manually. \r\nThe issue seems to be related to pyarrow.json \r\n\r\n\r\n\r\npython3 -q -X faulthandler -c \"from datasets import load_dataset; load_dataset('json', data_files='/Users/scampion/Downloads/1998-09.jsonl')\"\r\nGenerating train split: 0 examples [00:00, ? exa...
Segmentation fault
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2024-05-02T08:28:49Z
https://api.github.com/repos/huggingface/datasets/issues/6858/comments
### Describe the bug Using various version for datasets, I'm no more longer able to load that dataset without a segmentation fault. Several others files are also concerned. ### Steps to reproduce the bug # Create a new venv python3 -m venv venv_test source venv_test/bin/activate # Install the latest version pip install datasets # Load that dataset python3 -q -X faulthandler -c "from datasets import load_dataset; load_dataset('EuropeanParliament/Eurovoc', '1998-09')" ### Expected behavior Data must be loaded ### Environment info datasets==2.19.0 Python 3.11.7 Darwin 22.5.0 Darwin Kernel Version 22.5.0: Mon Apr 24 20:51:50 PDT 2023; root:xnu-8796.121.2~5/RELEASE_X86_64 x86_64
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Fix line-endings in tests on Windows
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2024-05-02T07:49:15Z
https://api.github.com/repos/huggingface/datasets/issues/6857/comments
EDIT: ~~Fix test_delete_from_hub on Windows by passing explicit encoding.~~ Fix test_delete_from_hub and test_xgetsize_private by uploading the README file content directly (encoding the string), instead of writing a local file and uploading it. Note that local files created on Windows will have "\r\n" line endings, instead of "\n". These are no longer transformed to "\n" by the Hub. Fix #6856.
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CI fails on Windows for test_delete_from_hub and test_xgetsize_private due to new-line character
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2024-05-02T07:37:03Z
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CI fails on Windows for test_delete_from_hub after the merge of: - #6820 This is weird because the CI was green in the PR branch before merging to main. ``` FAILED tests/test_hub.py::test_delete_from_hub - AssertionError: assert [CommitOperat...\r\n---\r\n')] == [CommitOperat...in/*\n---\n')] At index 1 diff: CommitOperationAdd(path_in_repo='README.md', path_or_fileobj=b'---\r\nconfigs:\r\n- config_name: cats\r\n data_files:\r\n - split: train\r\n path: cats/train/*\r\n---\r\n') != CommitOperationAdd(path_in_repo='README.md', path_or_fileobj=b'---\nconfigs:\n- config_name: cats\n data_files:\n - split: train\n path: cats/train/*\n---\n') Full diff: [ CommitOperationDelete( path_in_repo='dogs/train/0000.csv', is_folder=False, ), CommitOperationAdd( path_in_repo='README.md', - path_or_fileobj=b'---\nconfigs:\n- config_name: cats\n data_files:\n ' ? -------- + path_or_fileobj=b'---\r\nconfigs:\r\n- config_name: cats\r\n data_f' ? ++ ++ ++ - b' - split: train\n path: cats/train/*\n---\n', ? ^^^^^^ - + b'iles:\r\n - split: train\r\n path: cats/train/*\r' ? ++++++++++ ++ ^ + b'\n---\r\n', ), ] ```
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Fix dataset name for community Hub script-datasets
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2024-05-02T07:05:44Z
https://api.github.com/repos/huggingface/datasets/issues/6855/comments
Fix dataset name for community Hub script-datasets by passing explicit dataset_name to HubDatasetModuleFactoryWithScript. Fix #6854. CC: @Wauplin
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Wrong example of usage when config name is missing for community script-datasets
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2024-05-02T06:59:39Z
https://api.github.com/repos/huggingface/datasets/issues/6854/comments
As reported by @Wauplin, when loading a community dataset with script, there is a bug in the example of usage of the error message if the dataset has multiple configs (and no default config) and the user does not pass any config. For example: ```python >>> ds = load_dataset("google/fleurs") ValueError: Config name is missing. Please pick one among the available configs: ['af_za', 'am_et', 'ar_eg', 'as_in', 'ast_es', 'az_az', 'be_by', 'bg_bg', 'bn_in', 'bs_ba', 'ca_es', 'ceb_ph', 'ckb_iq', 'cmn_hans_cn', 'cs_cz', 'cy_gb', 'da_dk', 'de_de', 'el_gr', 'en_us', 'es_419', 'et_ee', 'fa_ir', 'ff_sn', 'fi_fi', 'fil_ph', 'fr_fr', 'ga_ie', 'gl_es', 'gu_in', 'ha_ng', 'he_il', 'hi_in', 'hr_hr', 'hu_hu', 'hy_am', 'id_id', 'ig_ng', 'is_is', 'it_it', 'ja_jp', 'jv_id', 'ka_ge', 'kam_ke', 'kea_cv', 'kk_kz', 'km_kh', 'kn_in', 'ko_kr', 'ky_kg', 'lb_lu', 'lg_ug', 'ln_cd', 'lo_la', 'lt_lt', 'luo_ke', 'lv_lv', 'mi_nz', 'mk_mk', 'ml_in', 'mn_mn', 'mr_in', 'ms_my', 'mt_mt', 'my_mm', 'nb_no', 'ne_np', 'nl_nl', 'nso_za', 'ny_mw', 'oc_fr', 'om_et', 'or_in', 'pa_in', 'pl_pl', 'ps_af', 'pt_br', 'ro_ro', 'ru_ru', 'sd_in', 'sk_sk', 'sl_si', 'sn_zw', 'so_so', 'sr_rs', 'sv_se', 'sw_ke', 'ta_in', 'te_in', 'tg_tj', 'th_th', 'tr_tr', 'uk_ua', 'umb_ao', 'ur_pk', 'uz_uz', 'vi_vn', 'wo_sn', 'xh_za', 'yo_ng', 'yue_hant_hk', 'zu_za', 'all'] Example of usage: `load_dataset('fleurs', 'af_za')` ``` Note the example of usage in the error message suggests loading "fleurs" instead of "google/fleurs".
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2024-04-30T22:14:29Z
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Support soft links for load_datasets imagefolder
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### Feature request Load_dataset from a folder of images doesn't seem to support soft links. It would be nice if it did, especially during methods development where image folders are being curated. ### Motivation Images are coming from a complex variety of sources and we'd like to be able to soft link directly from the originating folders as opposed to copying. Having a copy of the file ensures that there may be issues with image versioning as well as having double the amount of required disk space. ### Your contribution N/A
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Write token isn't working while pushing to datasets
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https://api.github.com/repos/huggingface/datasets/issues/6852/comments
### Describe the bug <img width="1001" alt="Screenshot 2024-05-01 at 3 37 06 AM" src="https://github.com/huggingface/datasets/assets/130903099/00fcf12c-fcc1-4749-8592-d263d4efcbcc"> As you can see I logged in to my account and the write token is valid. But I can't upload on my main account and I am getting that error. It was okay on my test account at first try. (I refreshed the token, tried a new token but still doesn't work) ### Steps to reproduce the bug 1. I loaded a dataset. 2. I logged in using both cli and huggingface_hub 3. I pushed to my down dataset (It went well without any issues on my test account) ### Expected behavior It should have gone smoothly and this is not even my first time uploading to huggingface datasets ### Environment info colab, dataset (tried multiple versions)
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2024-04-30T09:25:01Z
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load_dataset('emotion') UnicodeDecodeError
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I_kwDODunzps6HXC7_
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2024-04-30T09:25:01Z
https://api.github.com/repos/huggingface/datasets/issues/6851/comments
### Describe the bug **emotions = load_dataset('emotion')** _UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8b in position 1: invalid start byte_ ### Steps to reproduce the bug load_dataset('emotion') ### Expected behavior succese ### Environment info py3.10 transformers 4.41.0.dev0 datasets 2.19.0
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2024-05-06T09:25:54Z
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[ "Version 2.18 works without problem.", "@Namangarg110 @mohsen-goodarzi The bug appears because the number of urls is less than 16 and the algorithm is meant to work on the previously created mode for a single url as stated on line 314: https://github.com/huggingface/datasets/blob/1bf8a46cc7b096d5c547ea3794f6a4b6...
Problem loading voxpopuli dataset
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I_kwDODunzps6HRdTQ
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2024-04-29T16:46:51Z
https://api.github.com/repos/huggingface/datasets/issues/6850/comments
### Describe the bug ``` Exception has occurred: FileNotFoundError Couldn't find file at https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/{'en': 'data/en/asr_train.tsv'} ``` Error in logic for link url creation. The link should be https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/data/en/asr_train.tsv Basically there should be links directly under ```metadata["train"]```, not under ```metadata["train"][self.config.languages[0]]``` same for audio urls ### Steps to reproduce the bug ``` from datasets import load_dataset dataset = load_dataset("facebook/voxpopuli","en") ``` ### Expected behavior Dataset should be loaded successfully. ### Environment info - `datasets` version: 2.19.0 - Platform: Linux-5.15.0-1041-aws-x86_64-with-glibc2.31 - Python version: 3.10.13 - `huggingface_hub` version: 0.22.2 - PyArrow version: 16.0.0 - Pandas version: 2.2.0 - `fsspec` version: 2023.12.2
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[ "Hi ! This was fixed recently in https://github.com/huggingface/datasets/pull/6904 and https://github.com/huggingface/datasets/pull/6931" ]
fix webdataset filename split
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PR_kwDODunzps5t_wnu
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2024-04-29T10:57:18Z
https://api.github.com/repos/huggingface/datasets/issues/6849/comments
use `os.path.splitext` to parse field_name. fix filename which has dot. like: ``` a.b.jpeg a.b.txt ```
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[ "Same issue here." ]
Cant Downlaod Common Voice 17.0 hy-AM
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I_kwDODunzps6HOG8R
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2024-04-29T10:06:02Z
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### Describe the bug I want to download Common Voice 17.0 hy-AM but it returns an error. ``` The version_base parameter is not specified. Please specify a compatability version level, or None. Will assume defaults for version 1.1 @hydra.main(config_name='hfds_config', config_path=None) /usr/local/lib/python3.10/dist-packages/hydra/_internal/hydra.py:119: UserWarning: Future Hydra versions will no longer change working directory at job runtime by default. See https://hydra.cc/docs/1.2/upgrades/1.1_to_1.2/changes_to_job_working_dir/ for more information. ret = run_job( /usr/local/lib/python3.10/dist-packages/datasets/load.py:1429: FutureWarning: The repository for mozilla-foundation/common_voice_17_0 contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/mozilla-foundation/common_voice_17_0 You can avoid this message in future by passing the argument `trust_remote_code=True`. Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`. warnings.warn( Reading metadata...: 6180it [00:00, 133224.37it/s]les/s] Generating train split: 0 examples [00:00, ? examples/s] HuggingFace datasets failed due to some reason (stack trace below). For certain datasets (eg: MCV), it may be necessary to login to the huggingface-cli (via `huggingface-cli login`). Once logged in, you need to set `use_auth_token=True` when calling this script. Traceback error for reference : Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1743, in _prepare_split_single example = self.info.features.encode_example(record) if self.info.features is not None else record File "/usr/local/lib/python3.10/dist-packages/datasets/features/features.py", line 1878, in encode_example return encode_nested_example(self, example) File "/usr/local/lib/python3.10/dist-packages/datasets/features/features.py", line 1243, in encode_nested_example { File "/usr/local/lib/python3.10/dist-packages/datasets/features/features.py", line 1243, in <dictcomp> { File "/usr/local/lib/python3.10/dist-packages/datasets/utils/py_utils.py", line 326, in zip_dict yield key, tuple(d[key] for d in dicts) File "/usr/local/lib/python3.10/dist-packages/datasets/utils/py_utils.py", line 326, in <genexpr> yield key, tuple(d[key] for d in dicts) KeyError: 'sentence_id' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/workspace/nemo/scripts/speech_recognition/convert_hf_dataset_to_nemo.py", line 358, in main dataset = load_dataset( File "/usr/local/lib/python3.10/dist-packages/datasets/load.py", line 2549, in load_dataset builder_instance.download_and_prepare( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1005, in download_and_prepare self._download_and_prepare( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1767, in _download_and_prepare super()._download_and_prepare( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1100, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1605, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1762, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset ``` ### Steps to reproduce the bug ``` from datasets import load_dataset cv_17 = load_dataset("mozilla-foundation/common_voice_17_0", "hy-AM") ``` ### Expected behavior It works fine with common_voice_16_1 ### Environment info - `datasets` version: 2.18.0 - Platform: Linux-5.15.0-1042-nvidia-x86_64-with-glibc2.35 - Python version: 3.11.6 - `huggingface_hub` version: 0.22.2 - PyArrow version: 15.0.2 - Pandas version: 2.2.2 - `fsspec` version: 2024.2.0
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[ "This should help fixing this issue: https://github.com/huggingface/datasets/pull/6832", "I'm having a similar issue when using splices:\r\n<img width=\"947\" alt=\"image\" src=\"https://github.com/huggingface/datasets/assets/28941213/2153faac-e1fe-4b6d-a79b-30b2699407e8\">\r\n<img width=\"823\" alt=\"image\" src...
[Streaming] Only load requested splits without resolving files for the other splits
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I_kwDODunzps6HN-x5
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2024-04-29T09:49:32Z
https://api.github.com/repos/huggingface/datasets/issues/6847/comments
e.g. [thangvip](https://huggingface.co/thangvip)/[cosmopedia_vi_math](https://huggingface.co/datasets/thangvip/cosmopedia_vi_math) has 300 splits and it takes a very long time to load only one split. This is due to `load_dataset()` resolving the files of all the splits even if only one is needed. In `dataset-viewer` the splits are loaded in different jobs so it results in 300 jobs that resolve 300 splits -> 90k calls to `/paths-info`
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[ "In every iteration you load the full \"random_input\" column in memory, only then to access it's i-th element.\r\n\r\nYou can try using this instead\r\n\r\na,b=dataset[i]['random_input'],dataset[i]['random_output']" ]
Unimaginable super slow iteration
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2024-04-28T05:24:14Z
https://api.github.com/repos/huggingface/datasets/issues/6846/comments
### Describe the bug Assuming there is a dataset with 52000 sentences, each with a length of 500, it takes 20 seconds to extract a sentence from the dataset……?Is there something wrong with my iteration? ### Steps to reproduce the bug ```python import datasets import time import random num_rows = 52000 num_cols = 500 random_input = [[random.randint(1, 100) for _ in range(num_cols)] for _ in range(num_rows)] random_output = [[random.randint(1, 100) for _ in range(num_cols)] for _ in range(num_rows)] s=time.time() d={'random_input':random_input,'random_output':random_output} dataset=datasets.Dataset.from_dict(d) print('from dict',time.time()-s) print(dataset) for i in range(len(dataset)): aa=time.time() a,b=dataset['random_input'][i],dataset['random_output'][i] print(time.time()-aa) ``` corresponding output ```bash from dict 9.215498685836792 Dataset({ features: ['random_input', 'random_output'], num_rows: 52000 }) 19.129778146743774 19.329464197158813 19.27668261528015 19.28557538986206 19.247620582580566 19.624247074127197 19.28673791885376 19.301053047180176 19.290496110916138 19.291821718215942 19.357765197753906 ``` ### Expected behavior Under normal circumstances, iteration should be very rapid as it does not involve the main tasks other than getting items ### Environment info - `datasets` version: 2.19.0 - Platform: Linux-3.10.0-1160.71.1.el7.x86_64-x86_64-with-glibc2.17 - Python version: 3.10.13 - `huggingface_hub` version: 0.21.4 - PyArrow version: 15.0.0 - Pandas version: 2.2.1 - `fsspec` version: 2024.2.0
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2024-05-15T12:06:59Z
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https://github.com/huggingface/datasets/issues/6845
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[ "I encountered this same issue when loading a customized dataset for ORPO training, in which there were three columns and two of them were lists. \r\nI debugged and found that it might be caused by the type-infer mechanism and because in some chunks one of the columns is always an empty list ([]), it was regarded a...
load_dataset doesn't support list column
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I_kwDODunzps6HDohH
null
2024-04-26T14:11:44Z
https://api.github.com/repos/huggingface/datasets/issues/6845/comments
### Describe the bug dataset = load_dataset("Doraemon-AI/text-to-neo4j-cypher-chinese") got exception: Generating train split: 1834 examples [00:00, 5227.98 examples/s] Traceback (most recent call last): File "/usr/local/lib/python3.11/dist-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/usr/local/lib/python3.11/dist-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/table.py", line 2295, in table_cast return cast_table_to_schema(table, schema) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/table.py", line 2254, in cast_table_to_schema arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/table.py", line 2254, in <listcomp> arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/table.py", line 1802, in wrapper return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/table.py", line 1802, in <listcomp> return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/table.py", line 2018, in cast_array_to_feature casted_array_values = _c(array.values, feature[0]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/table.py", line 1804, in wrapper return func(array, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/table.py", line 2115, in cast_array_to_feature raise TypeError(f"Couldn't cast array of type\n{array.type}\nto\n{feature}") TypeError: Couldn't cast array of type struct<m.name: string, x.name: string, p.name: string, n.name: string, h.name: string, name: string, c: int64, collect(r.name): list<item: string>, q.name: string, rel.name: string, count(p): int64, 1: int64, p.location: string, max(n.name): null, mn.name: string, p.time: int64, min(q.name): string> to {'q.name': Value(dtype='string', id=None), 'mn.name': Value(dtype='string', id=None), 'x.name': Value(dtype='string', id=None), 'p.name': Value(dtype='string', id=None), 'n.name': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'm.name': Value(dtype='string', id=None), 'h.name': Value(dtype='string', id=None), 'count(p)': Value(dtype='int64', id=None), 'rel.name': Value(dtype='string', id=None), 'c': Value(dtype='int64', id=None), 'collect(r.name)': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), '1': Value(dtype='int64', id=None), 'p.location': Value(dtype='string', id=None), 'substring(h.name,0,5)': Value(dtype='string', id=None), 'p.time': Value(dtype='int64', id=None)} The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/ubuntu/llm/train-2.py", line 150, in <module> dataset = load_dataset("Doraemon-AI/text-to-neo4j-cypher-chinese") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/datasets/load.py", line 2609, in load_dataset builder_instance.download_and_prepare( File "/usr/local/lib/python3.11/dist-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/usr/local/lib/python3.11/dist-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/usr/local/lib/python3.11/dist-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/usr/local/lib/python3.11/dist-packages/datasets/builder.py", line 2038, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset ### Steps to reproduce the bug dataset = load_dataset("Doraemon-AI/text-to-neo4j-cypher-chinese") ### Expected behavior no exception ### Environment info python 3.11 datasets 2.19.0
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2024-04-26T15:37:42Z
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6844). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "@Wauplin This PR is indeed not needed as explained in https://github.com/huggingface/da...
Retry on HF Hub error when streaming
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PR_kwDODunzps5t2PRA
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2024-04-26T14:09:04Z
https://api.github.com/repos/huggingface/datasets/issues/6844/comments
Retry on the `huggingface_hub`'s `HfHubHTTPError` in the streaming mode. Fix #6843
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2024-04-30T13:14:13Z
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https://github.com/huggingface/datasets/issues/6843
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[ "Thanks for reporting! I've opened a PR with a fix.", "Thanks, @mariosasko! Related question (although I guess this is a feature request): could we have some kind of exponential back-off for these retries? Here's my reasoning:\r\n- If a one-time accidental error happens, you should retry immediately and will succ...
IterableDataset raises exception instead of retrying
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I_kwDODunzps6HB8NB
null
2024-04-26T10:00:43Z
https://api.github.com/repos/huggingface/datasets/issues/6843/comments
### Describe the bug In light of the recent server outages, I decided to look into whether I could somehow wrap my IterableDataset streams to retry rather than error out immediately. To my surprise, `datasets` [already supports retries](https://github.com/huggingface/datasets/issues/6172#issuecomment-1794876229). Since a commit by @lhoestq [last week](https://github.com/huggingface/datasets/commit/a188022dc43a76a119d90c03832d51d6e4a94d91), that code lives here: https://github.com/huggingface/datasets/blob/fe2bea6a4b09b180bd23b88fe96dfd1a11191a4f/src/datasets/utils/file_utils.py#L1097C1-L1111C19 If GitHub code snippets still aren't working, here's a copy: ```python def read_with_retries(*args, **kwargs): disconnect_err = None for retry in range(1, max_retries + 1): try: out = read(*args, **kwargs) break except (ClientError, TimeoutError) as err: disconnect_err = err logger.warning( f"Got disconnected from remote data host. Retrying in {config.STREAMING_READ_RETRY_INTERVAL}sec [{retry}/{max_retries}]" ) time.sleep(config.STREAMING_READ_RETRY_INTERVAL) else: raise ConnectionError("Server Disconnected") from disconnect_err return out ``` With the latest outage, the end of my stack trace looked like this: ``` ... File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/download/streaming_download_manager.py", line 342, in read_with_retries out = read(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/miniconda3/envs/draft/lib/python3.11/gzip.py", line 301, in read return self._buffer.read(size) ^^^^^^^^^^^^^^^^^^^^^^^ File "/miniconda3/envs/draft/lib/python3.11/_compression.py", line 68, in readinto data = self.read(len(byte_view)) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/miniconda3/envs/draft/lib/python3.11/gzip.py", line 505, in read buf = self._fp.read(io.DEFAULT_BUFFER_SIZE) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/miniconda3/envs/draft/lib/python3.11/gzip.py", line 88, in read return self.file.read(size) ^^^^^^^^^^^^^^^^^^^^ File "/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/spec.py", line 1856, in read out = self.cache._fetch(self.loc, self.loc + length) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/caching.py", line 189, in _fetch self.cache = self.fetcher(start, end) # new block replaces old ^^^^^^^^^^^^^^^^^^^^^^^^ File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py", line 626, in _fetch_range hf_raise_for_status(r) File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/utils/_errors.py", line 333, in hf_raise_for_status raise HfHubHTTPError(str(e), response=response) from e huggingface_hub.utils._errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/datasets/allenai/c4/resolve/1588ec454efa1a09f29cd18ddd04fe05fc8653a2/en/c4-train.00346-of-01024.json.gz ``` Indeed, the code for retries only catches `ClientError`s and `TimeoutError`s, and all other exceptions, *including HuggingFace's own custom HTTP error class*, **are not caught. Nothing is retried,** and instead the exception is propagated upwards immediately. ### Steps to reproduce the bug Not sure how you reproduce this. Maybe unplug your Ethernet cable while streaming a dataset; the issue is pretty clear from the stack trace. ### Expected behavior All HTTP errors while iterating a streamable dataset should cause retries. ### Environment info Output from `datasets-cli env`: - `datasets` version: 2.18.0 - Platform: Linux-4.18.0-513.24.1.el8_9.x86_64-x86_64-with-glibc2.28 - Python version: 3.11.7 - `huggingface_hub` version: 0.20.3 - PyArrow version: 15.0.0 - Pandas version: 2.2.0 - `fsspec` version: 2023.10.0
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Datasets with files with colon : in filenames cannot be used on Windows
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I_kwDODunzps6G_HW_
null
2024-04-26T00:14:16Z
https://api.github.com/repos/huggingface/datasets/issues/6842/comments
### Describe the bug Datasets (such as https://huggingface.co/datasets/MLCommons/peoples_speech) cannot be used on Windows due to the fact that windows does not allow colons ":" in filenames. These should be converted into alternative strings. ### Steps to reproduce the bug 1. Attempt to run load_dataset on MLCommons/peoples_speech ### Expected behavior Does not crash during extraction ### Environment info Windows 11, NTFS filesystem, Python 3.12
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2024-05-29T13:54:03Z
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[ "Hi! I've opened a [PR](https://huggingface.co/datasets/GEM/wiki_auto_asset_turk/discussions/5) with a fix. While waiting for it to be merged, you can load the dataset from the PR branch with `datasets.load_dataset(\"GEM/wiki_auto_asset_turk\", revision=\"refs/pr/5\")`", "Thanks Mario. Still getting the same issu...
Unable to load wiki_auto_asset_turk from GEM
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I_kwDODunzps6G_GRD
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2024-04-26T00:08:47Z
https://api.github.com/repos/huggingface/datasets/issues/6841/comments
### Describe the bug I am unable to load the wiki_auto_asset_turk dataset. I get a fatal error while trying to access wiki_auto_asset_turk and load it with datasets.load_dataset. The error (TypeError: expected str, bytes or os.PathLike object, not NoneType) is from filenames_for_dataset_split in a os.path.join call >>import datasets >>print (datasets.__version__) >>dataset = datasets.load_dataset("GEM/wiki_auto_asset_turk") System output: Generating train split: 100%|█| 483801/483801 [00:03<00:00, 127164.26 examples/s Generating validation split: 100%|█| 20000/20000 [00:00<00:00, 116052.94 example Generating test_asset split: 100%|██| 359/359 [00:00<00:00, 76155.93 examples/s] Generating test_turk split: 100%|███| 359/359 [00:00<00:00, 87691.76 examples/s] Traceback (most recent call last): File "/Users/abhinav.sethy/Code/openai_evals/evals/evals/grammarly_tasks/gem_sari.py", line 3, in <module> dataset = datasets.load_dataset("GEM/wiki_auto_asset_turk") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/datasets/load.py", line 2582, in load_dataset builder_instance.download_and_prepare( File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/datasets/builder.py", line 1005, in download_and_prepare self._download_and_prepare( File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/datasets/builder.py", line 1767, in _download_and_prepare super()._download_and_prepare( File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/datasets/builder.py", line 1100, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/datasets/builder.py", line 1565, in _prepare_split split_info = self.info.splits[split_generator.name] ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/datasets/splits.py", line 532, in __getitem__ instructions = make_file_instructions( ^^^^^^^^^^^^^^^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/datasets/arrow_reader.py", line 121, in make_file_instructions info.name: filenames_for_dataset_split( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/datasets/naming.py", line 72, in filenames_for_dataset_split prefix = os.path.join(path, prefix) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "<frozen posixpath>", line 76, in join TypeError: expected str, bytes or os.PathLike object, not NoneType ### Steps to reproduce the bug import datasets print (datasets.__version__) dataset = datasets.load_dataset("GEM/wiki_auto_asset_turk") ### Expected behavior Should be able to load the dataset without any issues ### Environment info datasets version 2.18.0 (was able to reproduce bug with older versions 2.16 and 2.14 also) Python 3.12.0
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2024-04-25T22:33:57Z
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https://github.com/huggingface/datasets/issues/6840
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Delete uploaded files from the UI
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I_kwDODunzps6G-yBe
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2024-04-25T22:33:57Z
https://api.github.com/repos/huggingface/datasets/issues/6840/comments
### Feature request Once a file is uploaded and the commit is made, I am unable to delete individual files without completely deleting the whole dataset via the website UI. ### Motivation Would be a useful addition ### Your contribution Would love to help out with some guidance
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Remove token arg from CLI examples
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2024-04-25T14:36:58Z
https://api.github.com/repos/huggingface/datasets/issues/6839/comments
Remove token arg from CLI examples. Fix #6838. CC: @Wauplin
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Remove token arg from CLI examples
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2024-04-25T14:00:38Z
https://api.github.com/repos/huggingface/datasets/issues/6838/comments
As suggested by @Wauplin, see: https://github.com/huggingface/datasets/pull/6831#discussion_r1579492603 > I would not advertise the --token arg in the example as this shouldn't be the recommended way (best to login with env variable or huggingface-cli login)
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[ "There are 2 workarounds, tho:\r\n1. Download datasets from web and just load them locally\r\n2. Use metadata directly (temporal solution, since metadata can change)\r\n```\r\nimport datasets\r\nfrom datasets.data_files import DataFilesDict, DataFilesList\r\n\r\ndata_files_list = DataFilesList(\r\n [\r\n ...
Cannot use cached dataset without Internet connection (or when servers are down)
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2024-04-25T10:48:20Z
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### Describe the bug I want to be able to use cached dataset from HuggingFace even when I have no Internet connection (or when HuggingFace servers are down, or my company has network issues). The problem why I can't use it: `data_files` argument from `datasets.load_dataset()` function get it updates from the server before calculating hash for caching. As a result, when I run the same code with and without Internet I get different dataset configuration directory name. ### Steps to reproduce the bug ``` import datasets c4_dataset = datasets.load_dataset( path="allenai/c4", data_files={"train": "en/c4-train.00000-of-01024.json.gz"}, split="train", cache_dir="/datesets/cache", download_mode="reuse_cache_if_exists", token=False, ) ``` 1. Run this code with the Internet. 2. Run the same code without the Internet. ### Expected behavior When running without the Internet connection, the loader should be able to get dataset from cache ### Environment info - `datasets` version: 2.19.0 - Platform: Windows-10-10.0.19044-SP0 - Python version: 3.10.13 - `huggingface_hub` version: 0.22.2 - PyArrow version: 16.0.0 - Pandas version: 1.5.3 - `fsspec` version: 2023.12.2
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[ "Get same error on same datasets too.", "+1", "same error" ]
ExpectedMoreSplits error on load_dataset when upgrading to 2.19.0
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I_kwDODunzps6G1zG_
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2024-04-24T21:52:35Z
https://api.github.com/repos/huggingface/datasets/issues/6836/comments
### Describe the bug Hi there, thanks for the great library! We have been using it a lot in torchtune and it's been a huge help for us. Regarding the bug: the same call to `load_dataset` errors with `ExpectedMoreSplits` in 2.19.0 after working fine in 2.18.0. Full details given in the repro below. ### Steps to reproduce the bug On 2.18.0, things work fine: ``` # First clear the locally cached dataset rm -r ~/.cache/huggingface/datasets/lvwerra___stack-exchange-paired pip install "datasets==2.18.0" python3 >>> from datasets import load_dataset >>> dataset = load_dataset('lvwerra/stack-exchange-paired', split='train', data_dir='data/rl') ``` On 2.19.0, they do not: ``` # First clear the locally cached dataset rm -r ~/.cache/huggingface/datasets/lvwerra___stack-exchange-paired pip install "datasets==2.19.0" python3 >>> from datasets import load_dataset >>> dataset = load_dataset('lvwerra/stack-exchange-paired', split='train', data_dir='data/rl') ``` The stack trace I see from the 2.19.0 version of load_dataset can be seen [here](https://gist.github.com/ebsmothers/f9b1f1949bee7030a8d7bb8a491550d2). (Maybe unsurprising but) notably if I do not delete the cache first I am able to load the dataset successfully. So based on this I suspect the cause is somewhere in the download logic. ### Expected behavior Download the dataset successfully :) ### Environment info - `datasets` version: 2.19.0 - Platform: Linux-5.12.0-0_fbk16_zion_7661_geb00762ce6d2-x86_64-with-glibc2.34 - Python version: 3.11.9 - `huggingface_hub` version: 0.22.2 - PyArrow version: 16.0.0 - Pandas version: 2.2.2 - `fsspec` version: 2024.3.1
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6835). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "Fixed the conversion from `pyarrow` to `python` `Sequence` features. \r\n\r\nThere is s...
Support pyarrow LargeListType
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2024-04-24T11:34:24Z
https://api.github.com/repos/huggingface/datasets/issues/6835/comments
Fixes #6834
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https://github.com/huggingface/datasets/issues/6834
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largelisttype not supported (.from_polars())
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2024-04-24T11:33:43Z
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### Describe the bug The following code fails because LargeListType is not supported. This is especially a problem for .from_polars since polars uses LargeListType. ### Steps to reproduce the bug ```python import datasets import polars as pl df = pl.DataFrame({"list": [[]]}) datasets.Dataset.from_polars(df) ``` ### Expected behavior Convert LargeListType to list. ### Environment info - `datasets` version: 2.19.1.dev0 - Platform: Linux-6.8.7-200.fc39.x86_64-x86_64-with-glibc2.38 - Python version: 3.12.2 - `huggingface_hub` version: 0.22.2 - PyArrow version: 16.0.0 - Pandas version: 2.1.4 - `fsspec` version: 2024.3.1
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[ "Similar issue in text process \r\n\r\n```python\r\n\r\ntokenizer=AutoTokenizer.from_pretrained(model_dir[args.model])\r\ntrain_dataset=datasets.load_from_disk(dataset_dir[args.dataset],keep_in_memory=True)['train']\r\ntrain_dataset=train_dataset.map(partial(dname2func[args.dataset],tokenizer=tokenizer),batched=Tru...
Super slow iteration with trivial custom transform
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2024-04-23T20:40:59Z
https://api.github.com/repos/huggingface/datasets/issues/6833/comments
### Describe the bug Dataset is 10X slower when applying trivial transforms: ``` import time import numpy as np from datasets import Dataset, Features, Array2D a = np.zeros((800, 800)) a = np.stack([a] * 1000) features = Features({"a": Array2D(shape=(800, 800), dtype="uint8")}) ds1 = Dataset.from_dict({"a": a}, features=features).with_format('numpy') def transform(batch): return batch ds2 = ds1.with_transform(transform) %time sum(1 for _ in ds1) %time sum(1 for _ in ds2) ``` ``` CPU times: user 472 ms, sys: 319 ms, total: 791 ms Wall time: 794 ms CPU times: user 9.32 s, sys: 443 ms, total: 9.76 s Wall time: 9.78 s ``` In my real code I'm using set_transform to apply some post-processing on-the-fly for the 2d array, but it significantly slows down the dataset even if the transform itself is trivial. Related issue: https://github.com/huggingface/datasets/issues/5841 ### Steps to reproduce the bug Use code in the description to reproduce. ### Expected behavior Trivial custom transform in the example should not slowdown the dataset iteration. ### Environment info - `datasets` version: 2.18.0 - Platform: Linux-5.15.0-79-generic-x86_64-with-glibc2.35 - Python version: 3.11.4 - `huggingface_hub` version: 0.20.2 - PyArrow version: 15.0.0 - Pandas version: 1.5.3 - `fsspec` version: 2023.12.2
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Support downloading specific splits in `load_dataset`
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2024-04-23T12:32:27Z
https://api.github.com/repos/huggingface/datasets/issues/6832/comments
This PR builds on https://github.com/huggingface/datasets/pull/6639 to support downloading only the specified splits in `load_dataset`. For this to work, a builder's `_split_generators` need to be able to accept the requested splits (as a list) via a `splits` argument to avoid processing the non-requested ones. Also, the builder has to define a `_available_splits` method that lists all the possible `splits` values. Close https://github.com/huggingface/datasets/issues/4101, close https://github.com/huggingface/datasets/issues/2538 (I'm probably missing some) Should also make it possible to address https://github.com/huggingface/datasets/issues/6793
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Add docs about the CLI
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2024-04-23T10:41:03Z
https://api.github.com/repos/huggingface/datasets/issues/6831/comments
Add docs about the CLI. Close #6830. CC: @severo
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Add a doc page for the convert_to_parquet CLI
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2024-04-23T09:49:04Z
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Follow-up to https://github.com/huggingface/datasets/pull/6795. Useful for https://github.com/huggingface/dataset-viewer/issues/2742. cc @albertvillanova
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Load and save from/to disk no longer accept pathlib.Path
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Reported by @vttrifonov at https://github.com/huggingface/datasets/pull/6704#issuecomment-2071168296: > This change is breaking in > https://github.com/huggingface/datasets/blob/f96e74d5c633cd5435dd526adb4a74631eb05c43/src/datasets/arrow_dataset.py#L1515 > when the input is `pathlib.Path`. The issue is that `url_to_fs` expects a `str` and cannot deal with `Path`. `get_fs_token_paths` converts to `str` so it is not a problem This change was introduced in: - #6704
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Support PathLike input in save_to_disk / load_from_disk
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2024-04-23T09:42:38Z
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2024-04-19T21:13:42Z
[]
https://github.com/huggingface/datasets/issues/6827
NONE
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Loading a remote dataset fails in the last release (v2.19.0)
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I_kwDODunzps6GWX25
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2024-04-19T21:11:58Z
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While loading a dataset with multiple splits I get an error saying `Couldn't find file at <URL>` I am loading the dataset like so, nothing out of the ordinary. This dataset needs a token to access it. ``` token="hf_myhftoken-sdhbdsjgkhbd" load_dataset("speechcolab/gigaspeech", "test", cache_dir=f"gigaspeech/test", token=token) ``` I get the following error ![Screenshot 2024-04-19 at 11 03 07 PM](https://github.com/huggingface/datasets/assets/35369637/8dce757f-08ff-45dd-85b5-890fced7c5bc) Now you can see that the URL that it is trying to reach has the JSON object of the dataset split appended to the base URL. I think this may be due to a newly introduced issue. I did not have this issue with the previous version of the datasets. Everything was fine for me yesterday and after the release 12 hours ago, this seems to have broken. Also, the dataset in question runs custom code and I checked and there have been no commits to the dataset on Huggingface in 6 months. ### Steps to reproduce the bug Since this happened with one particular dataset for me, I am listing steps to use that dataset. 1. Open https://huggingface.co/datasets/speechcolab/gigaspeech and fill the form to get access. 2. Create a token on your huggingface account with read access. 3. Run the following line, substituing `<your_token_here>` with your token. ``` load_dataset("speechcolab/gigaspeech", "test", cache_dir=f"gigaspeech/test", token="<your_token_here>") ``` ### Expected behavior Be able to load the dataset in question. ### Environment info datasets == 2.19.0 python == 3.10 kernel == Linux 6.1.58+
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Set dev version
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2024-04-19T08:51:42Z
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Release: 2.19.0
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PR_kwDODunzps5tJEMw
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2024-04-19T08:29:02Z
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2024-04-19T09:53:15Z
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https://github.com/huggingface/datasets/issues/6824
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[ "Hi ! Do you mean 2.18 ? Can you try to update `fsspec` and `huggingface_hub` ?\r\n\r\n```\r\npip install -U fsspec huggingface_hub\r\n```", "Yes I meant 2.18, and it works after updating `fsspec` and `huggingface_hub`. Thanks!" ]
Winogrande does not seem to be compatible with datasets version of 1.18.0
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I_kwDODunzps6GLLJl
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2024-04-18T16:11:04Z
https://api.github.com/repos/huggingface/datasets/issues/6824/comments
### Describe the bug I get the following error when simply running `load_dataset('winogrande','winogrande_xl')`. I do not have such an issue in the 1.17.0 version. ```Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python3.10/dist-packages/datasets/load.py", line 2556, in load_dataset builder_instance = load_dataset_builder( File "/usr/local/lib/python3.10/dist-packages/datasets/load.py", line 2265, in load_dataset_builder builder_instance: DatasetBuilder = builder_cls( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 371, in __init__ self.config, self.config_id = self._create_builder_config( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 620, in _create_builder_config builder_config._resolve_data_files( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 211, in _resolve_data_files self.data_files = self.data_files.resolve(base_path, download_config) File "/usr/local/lib/python3.10/dist-packages/datasets/data_files.py", line 799, in resolve out[key] = data_files_patterns_list.resolve(base_path, download_config) File "/usr/local/lib/python3.10/dist-packages/datasets/data_files.py", line 752, in resolve resolve_pattern( File "/usr/local/lib/python3.10/dist-packages/datasets/data_files.py", line 393, in resolve_pattern raise FileNotFoundError(error_msg) FileNotFoundError: Unable to find 'hf://datasets/winogrande@ebf71e3c7b5880d019ecf6099c0b09311b1084f5/winogrande_xl/train/0000.parquet' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.tar', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.h5', '.hdf', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.H5', '.HDF', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.zip']``` ### Steps to reproduce the bug from datasets import load_dataset datasets = load_dataset('winogrande','winogrande_xl') ### Expected behavior ```Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.06M/2.06M [00:00<00:00, 5.16MB/s] Downloading data: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 118k/118k [00:00<00:00, 360kB/s] Downloading data: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 85.9k/85.9k [00:00<00:00, 242kB/s] Generating train split: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████| 40398/40398 [00:00<00:00, 845491.12 examples/s] Generating test split: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 1767/1767 [00:00<00:00, 362501.11 examples/s] Generating validation split: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████| 1267/1267 [00:00<00:00, 318768.11 examples/s]``` ### Environment info datasets version: 1.18.0
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2024-04-18T17:51:08Z
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https://github.com/huggingface/datasets/issues/6823
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Loading problems of Datasets with a single shard
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I_kwDODunzps6GKBwR
null
2024-04-18T13:59:00Z
https://api.github.com/repos/huggingface/datasets/issues/6823/comments
### Describe the bug When saving a dataset on disk and it has a single shard it is not loaded as when it is saved in multiple shards. I installed the latest version of datasets via pip. ### Steps to reproduce the bug The code below reproduces the behavior. All works well when the range of the loop is 10000 but it fails when it is 1000. ``` from PIL import Image import numpy as np from datasets import Dataset, DatasetDict, load_dataset def load_image(): # Generate random noise image noise = np.random.randint(0, 256, (256, 256, 3), dtype=np.uint8) return Image.fromarray(noise) def create_dataset(): input_images = [] output_images = [] text_prompts = [] for _ in range(10000): # this is the problematic parameter input_images.append(load_image()) output_images.append(load_image()) text_prompts.append('test prompt') data = {'input_image': input_images, 'output_image': output_images, 'text_prompt': text_prompts} dataset = Dataset.from_dict(data) return DatasetDict({'train': dataset}) dataset = create_dataset() print('dataset before saving') print(dataset) print(dataset['train'].column_names) dataset.save_to_disk('test_ds') print('dataset after loading') dataset_loaded = load_dataset('test_ds') print(dataset_loaded) print(dataset_loaded['train'].column_names) ``` The output for 1000 iterations is: ``` dataset before saving DatasetDict({ train: Dataset({ features: ['input_image', 'output_image', 'text_prompt'], num_rows: 1000 }) }) ['input_image', 'output_image', 'text_prompt'] Saving the dataset (1/1 shards): 100%|█| 1000/1000 [00:00<00:00, 5156.00 example dataset after loading Generating train split: 1 examples [00:00, 230.52 examples/s] DatasetDict({ train: Dataset({ features: ['_data_files', '_fingerprint', '_format_columns', '_format_kwargs', '_format_type', '_output_all_columns', '_split'], num_rows: 1 }) }) ['_data_files', '_fingerprint', '_format_columns', '_format_kwargs', '_format_type', '_output_all_columns', '_split'] ``` For 10000 iteration (8 shards) it is correct: ``` dataset before saving DatasetDict({ train: Dataset({ features: ['input_image', 'output_image', 'text_prompt'], num_rows: 10000 }) }) ['input_image', 'output_image', 'text_prompt'] Saving the dataset (8/8 shards): 100%|█| 10000/10000 [00:01<00:00, 6237.68 examp dataset after loading Generating train split: 10000 examples [00:00, 10773.16 examples/s] DatasetDict({ train: Dataset({ features: ['input_image', 'output_image', 'text_prompt'], num_rows: 10000 }) }) ['input_image', 'output_image', 'text_prompt'] ``` ### Expected behavior The procedure should work for a dataset with one shrad the same as for one with multiple shards ### Environment info - `datasets` version: 2.18.0 - Platform: macOS-14.1-arm64-arm-64bit - Python version: 3.11.8 - `huggingface_hub` version: 0.22.2 - PyArrow version: 15.0.2 - Pandas version: 2.2.2 - `fsspec` version: 2024.2.0 Edit: I looked in the source code of load.py in datasets. I should have used "load_from_disk" and it indeed works that way. But ideally load_dataset would have raisen an error the same way as if I call a path: ``` if Path(path, config.DATASET_STATE_JSON_FILENAME).exists(): raise ValueError( "You are trying to load a dataset that was saved using `save_to_disk`. " "Please use `load_from_disk` instead." ) ``` nevertheless I find it interesting that it works just well and without a warning if there are multiple shards.
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Fix parquet export infos
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PR_kwDODunzps5tB8aD
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2024-04-18T10:21:41Z
https://api.github.com/repos/huggingface/datasets/issues/6822/comments
Don't use the parquet export infos when USE_PARQUET_EXPORT is False. Otherwise the `datasets-server` might reuse erroneous data when re-running a job this follows https://github.com/huggingface/datasets/pull/6714
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Allow deleting a subset/config from a no-script dataset
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2024-04-17T14:41:12Z
https://api.github.com/repos/huggingface/datasets/issues/6820/comments
TODO: - [x] Add docs - [x] Delete token arg from CLI example - See: #6839 Close #6810.
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2024-04-17T11:19:47Z
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https://github.com/huggingface/datasets/issues/6819
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Give more details in `DataFilesNotFoundError` when getting the config names
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2024-04-17T11:19:47Z
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### Feature request After https://huggingface.co/datasets/cis-lmu/Glot500/commit/39060e01272ff228cc0ce1d31ae53789cacae8c3, the dataset viewer gives the following error: ``` { "error": "Cannot get the config names for the dataset.", "cause_exception": "DataFilesNotFoundError", "cause_message": "No (supported) data files found in cis-lmu/Glot500", "cause_traceback": [ "Traceback (most recent call last):\n", " File \"/src/services/worker/src/worker/job_runners/dataset/config_names.py\", line 73, in compute_config_names_response\n config_names = get_dataset_config_names(\n", " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py\", line 347, in get_dataset_config_names\n dataset_module = dataset_module_factory(\n", " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1873, in dataset_module_factory\n raise e1 from None\n", " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1854, in dataset_module_factory\n return HubDatasetModuleFactoryWithoutScript(\n", " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1245, in get_module\n module_name, default_builder_kwargs = infer_module_for_data_files(\n", " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 595, in infer_module_for_data_files\n raise DataFilesNotFoundError(\"No (supported) data files found\" + (f\" in {path}\" if path else \"\"))\n", "datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in cis-lmu/Glot500\n" ] } ``` because the deleted files were still listed in the README, see https://huggingface.co/datasets/cis-lmu/Glot500/discussions/4 Ideally, the error message would include the name of the first configuration with missing files, to help the user understand how to fix it. Here, it would tell that configuration `aze_Ethi` has no supported data files, instead of telling that the `cis-lmu/Glot500` *dataset* has no supported data files (which is not true). ### Motivation Giving more detail in the error would help the Datasets Hub users to debug why the dataset viewer does not work. ### Your contribution Not sure how to best fix this, as there are a lot of loops on the dataset configs in the traceback methods. "maybe" it would be easier to handle if the code was completely isolating each config.
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Support indexable objects in `Dataset.__getitem__`
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2024-04-16T17:41:27Z
https://api.github.com/repos/huggingface/datasets/issues/6817/comments
As discussed in https://github.com/huggingface/datasets/pull/6816, this is needed to support objects that implement `__index__` such as `np.int64` in `Dataset.__getitem__`.
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Improve typing of Dataset.search, matching definition
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2024-04-16T14:53:39Z
https://api.github.com/repos/huggingface/datasets/issues/6816/comments
Previously, the output of `score, indices = Dataset.search(...)` would be numpy arrays. The definition in `SearchResult` is a `List[int]` so this PR now matched the expected type. The previous behavior is a bit annoying as `Dataset.__getitem__` doesn't support `numpy.int64` which forced me to convert `indices` to int eg: ```python score, indices = ds.search(...) item = ds[int(indices[0])] ```
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Remove `os.path.relpath` in `resolve_patterns`
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2024-04-16T14:23:13Z
https://api.github.com/repos/huggingface/datasets/issues/6815/comments
... to save a few seconds when resolving repos with many data files.
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[ "Hi ! You can try to reduce `writer_batch_size`. It corresponds to the number of samples that stay in RAM before being flushed to disk" ]
`map` with `num_proc` > 1 leads to OOM
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2024-04-16T11:56:03Z
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### Describe the bug When running `map` on parquet dataset loaded from local machine, the RAM usage increases linearly eventually leading to OOM. I was wondering if I should I save the `cache_file` after every n steps in order to prevent this? ### Steps to reproduce the bug ``` ds = load_dataset("parquet", data_files=dataset_path, split="train") ds = ds.shard(num_shards=4, index=0) ds = ds.cast_column("audio", datasets.features.Audio(sampling_rate=16_000)) ds = ds.map(prepare_dataset, num_proc=32, writer_batch_size=1000, keep_in_memory=False, desc="preprocess dataset") ``` ``` def prepare_dataset(batch): # load audio sample = batch["audio"] inputs = feature_extractor(sample["array"], sampling_rate=16000) batch["input_values"] = inputs.input_values[0] batch["input_length"] = len(sample["array"].squeeze()) return batch ``` ### Expected behavior It shouldn't run into OOM problem. ### Environment info - `datasets` version: 2.18.0 - Platform: Linux-5.4.0-91-generic-x86_64-with-glibc2.17 - Python version: 3.8.19 - `huggingface_hub` version: 0.22.2 - PyArrow version: 15.0.2 - Pandas version: 2.0.3 - `fsspec` version: 2024.2.0
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Add Dataset.take and Dataset.skip
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2024-04-16T09:53:42Z
https://api.github.com/repos/huggingface/datasets/issues/6813/comments
...to be aligned with IterableDataset.take and IterableDataset.skip
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[ "(Sorry, meant to open this against my own fork. I'm attempting to debug this issue (https://github.com/astral-sh/uv/issues/1921#issuecomment-2058056192) reported by `huggingface/datasets` on the uv repo.)" ]
Run CI
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2024-04-16T01:12:36Z
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6811). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "@mariosasko pytest seems to be missing on windows?", "CI is not behaving well today �...
add allow_primitive_to_str and allow_decimal_to_str instead of allow_number_to_str
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2024-04-15T13:14:38Z
https://api.github.com/repos/huggingface/datasets/issues/6811/comments
Fix #6805
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[ "Probably best to implement this as a CLI command?", "Thanks for your comment, @mariosasko. Or maybe both (in Python and as CLI command)? The Python command would be just the reverse of `push_to_hub`...\r\n\r\nI am working on a draft implementation, so we can discuss about the API and UX." ]
Allow deleting a subset/config from a no-script dataset
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As proposed by @BramVanroy, it would be neat to have this functionality through the API.
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Make convert_to_parquet CLI command create script branch
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2024-04-15T07:47:26Z
https://api.github.com/repos/huggingface/datasets/issues/6809/comments
Make convert_to_parquet CLI command create a "script" branch and keep the script file on it. This PR proposes the simplest UX approach: whenever `--revision` is not explicitly passed (i.e., when the script is in the main branch), try to create a "script" branch from the "main" branch; if the "script" branch exists already, then do nothing. Follow-up of: - #6795 Close #6808. CC: @severo
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Make convert_to_parquet CLI command create script branch
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2024-04-15T06:46:07Z
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As proposed by @severo, maybe we should add this functionality as well to the CLI command to convert a script-dataset to Parquet. See: https://github.com/huggingface/datasets/pull/6795#discussion_r1562819168 > When providing support, we sometimes suggest that users store their script in a script branch. What do you think of this alternative to deleting the files?
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Fix hf-internal-testing/dataset_with_script commit SHA in CI test
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2024-04-12T08:47:50Z
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Fix test using latest commit SHA in hf-internal-testing/dataset_with_script dataset: https://huggingface.co/datasets/hf-internal-testing/dataset_with_script/commits/refs%2Fconvert%2Fparquet Fix #6796.
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[ "This seems to be hardcoded behavior in table.py `array_cast`.\r\n```python\r\nif (\r\n not allow_number_to_str\r\n and pa.types.is_string(pa_type)\r\n and (pa.types.is_floating(array.type) or pa.types.is_integer(array.type))\r\n ):\r\n raise TypeError(\r\n ...
Batched mapping of existing string column casts boolean to string
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https://api.github.com/repos/huggingface/datasets/issues/6805/comments
### Describe the bug Let the dataset contain a column named 'a', which is of the string type. If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true'). It only happens when the original column and the mapped column name are identical. Thank you! ### Steps to reproduce the bug ```python from datasets import Dataset dset = Dataset.from_dict({'a': ['11', '22']}) dset = dset.map(lambda x: {'a': [True for _ in x['a']]}, batched=True) print(dset['a']) ``` ``` > ['true', 'true'] ``` ### Expected behavior [True, True] ### Environment info - `datasets` version: 2.18.0 - Platform: Linux-5.4.0-148-generic-x86_64-with-glibc2.31 - Python version: 3.10.13 - `huggingface_hub` version: 0.21.4 - PyArrow version: 15.0.2 - Pandas version: 2.2.1 - `fsspec` version: 2023.12.2
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https://github.com/huggingface/datasets/pull/6804
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6804). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>...
Fix --repo-type order in cli upload docs
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2024-04-11T15:39:09Z
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