Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Languages:
Korean
Size:
1M<n<10M
| language: | |
| - ko | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - Ko-StrategyQA | |
| task_categories: | |
| - text-retrieval | |
| task_ids: | |
| - document-retrieval | |
| config_names: | |
| - corpus | |
| tags: | |
| - text-retrieval | |
| dataset_info: | |
| - config_name: default | |
| features: | |
| - name: query-id | |
| dtype: string | |
| - name: corpus-id | |
| dtype: string | |
| - name: score | |
| dtype: float64 | |
| splits: | |
| - name: train | |
| num_bytes: 236940 | |
| num_examples: 4377 | |
| - name: dev | |
| num_bytes: 61724 | |
| num_examples: 1145 | |
| - config_name: corpus | |
| features: | |
| - name: _id | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: corpus | |
| num_bytes: 7021046 | |
| num_examples: 9251 | |
| - config_name: queries | |
| features: | |
| - name: _id | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: queries | |
| num_bytes: 244634 | |
| num_examples: 2833 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: qrels/train.jsonl | |
| - split: dev | |
| path: qrels/dev.jsonl | |
| - config_name: corpus | |
| data_files: | |
| - split: corpus | |
| path: corpus.jsonl | |
| - config_name: queries | |
| data_files: | |
| - split: queries | |
| path: queries.jsonl | |
| # Ko-StrategyQA | |
| This dataset represents a conversion of the [Ko-StrategyQA dataset](https://huggingface.co/datasets/NomaDamas/Ko-StrategyQA) into the [BeIR](https://github.com/beir-cellar/beir) format, making it compatible for use with [mteb](https://github.com/embeddings-benchmark/mteb). | |
| The original dataset was designed for multi-hop QA, so we processed the data accordingly. First, we grouped the evidence documents tagged by annotators into sets, and excluded unit questions containing 'no_evidence' or 'operation'. |