metadata
dataset_info:
features:
- name: anchor
dtype: string
- name: positive
dtype: string
splits:
- name: train
num_bytes: 897778
num_examples: 580
- name: test
num_bytes: 532533
num_examples: 339
- name: validation
num_bytes: 524735
num_examples: 339
download_size: 875915
dataset_size: 1955046
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
Dataset Card for Scifact-TR
Table of Contents
Dataset Description
Scifact-TR is originally released by TR-MTEB group.
Dataset Structure
The original dataset only had train and test split. We applied the following splitting methodology to obtain the validation split:
- 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
- anchor (string): A user query in Turkish.
- positive (string): A factual answer in Turkish related to the anchor.