File size: 2,014 Bytes
32ac17e 921f1a8 32ac17e 921f1a8 32ac17e 489a750 05a2a8c 489a750 05a2a8c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
dataset_info:
features:
- name: query
dtype: string
- name: doc
dtype: string
splits:
- name: train
num_bytes: 38429966
num_examples: 13951
- name: test
num_bytes: 5378012
num_examples: 1994
- name: validation
num_bytes: 10639697
num_examples: 3986
download_size: 28977376
dataset_size: 54447675
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
# Dataset Card for Stackoverflow-QA-TR
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Source Data](#source-data)
## Dataset Description
Stackoverflow-QA-TR dataset is obtained by translating both the queries and corpora of [StackoverflowQA](https://huggingface.co/datasets/CoIR-Retrieval/stackoverflow-qa) into Turkish using GPT4.1.
### Dataset Structure
The original dataset only had `train` and `test` splits. We applied the following splitting methodology to obtain `validation` and `test` splits:
* If a train-val-test split is available, we use the existing divisions as provided.
* For datasets with a train-test split only, we create a val split from the training set, sized to match the test set, and apply this across all models.
* In cases with a train-val split, we reassign the val set as the test split, then generate a new val split from the training data following the approach above.
* In cases with a val-test split, we split validation into train and vad sets in 80\% and 20\% proportions, respectively.
* When only a single combined split is present, we partition the data into train, val, and test sets in 70\%, 15\%, and 15\% proportions, respectively.
### Data Fields
- **query**(string) : Stackoverflow question
- **doc**(string) : Stackoverflow answer
## Source Dataset
[StackoverflowQA](https://huggingface.co/datasets/CoIR-Retrieval/stackoverflow-qa) |