| --- |
| license: cc-by-sa-4.0 |
| task_categories: |
| - question-answering |
| language: |
| - en |
| pretty_name: parser_dataset |
| tags: |
| - multi-hop-qa |
| - hotpotqa |
| - 2wikimultihopqa |
| - retrieval |
| configs: |
| - config_name: train |
| data_files: |
| - split: train |
| path: train/hotpotqa_train_process_emb-select_llm-unable.parquet |
| - config_name: 2wiki_val |
| data_files: |
| - split: eval_50 |
| path: 2wiki_val/eval_50.json |
| - split: eval_100 |
| path: 2wiki_val/eval_100.json |
| - split: eval_200 |
| path: 2wiki_val/eval_200.json |
| - split: eval_400 |
| path: 2wiki_val/eval_400.json |
| - split: eval_800 |
| path: 2wiki_val/eval_800.json |
| - split: eval_1600 |
| path: 2wiki_val/eval_1600.json |
| - split: eval_3200 |
| path: 2wiki_val/eval_3200.json |
| - split: eval_6400 |
| path: 2wiki_val/eval_6400.json |
| - config_name: hqa_val |
| data_files: |
| - split: eval_50 |
| path: hqa_val/eval_50.json |
| - split: eval_100 |
| path: hqa_val/eval_100.json |
| - split: eval_200 |
| path: hqa_val/eval_200.json |
| - split: eval_400 |
| path: hqa_val/eval_400.json |
| - split: eval_800 |
| path: hqa_val/eval_800.json |
| - split: eval_1600 |
| path: hqa_val/eval_1600.json |
| - split: eval_3200 |
| path: hqa_val/eval_3200.json |
| - split: eval_6400 |
| path: hqa_val/eval_6400.json |
| --- |
| |
| # parser_dataset |
| |
| Parser training and evaluation data for multi-hop QA with long concatenated document contexts. |
| |
| Derived from [HotpotQA](https://hotpotqa.github.io/) and [2WikiMultihopQA](https://github.com/Alab-NII/2wikimultihop). |
| |
| ## Contents |
| |
| | Path | Split | Samples | Notes | |
| | --- | --- | --- | --- | |
| | `train/hotpotqa_train_process_emb-select_llm-unable.parquet` | train | HotpotQA processed train | VERL / `ParserRLHFDataset` format | |
| | `2wiki_val/eval_{N}.json` | eval | 128 per file | 2WikiMultihopQA, `N` documents per example | |
| | `hqa_val/eval_{N}.json` | eval | 128 per file | HotpotQA, `N` documents per example | |
| |
| `N` ∈ `{50, 100, 200, 400, 800, 1600, 3200, 6400}`. |
| |
| ## Load |
| |
| ```python |
| from datasets import load_dataset |
|
|
| train = load_dataset("inNexus/parser_dataset", "train", split="train") |
| hqa_50 = load_dataset("inNexus/parser_dataset", "hqa_val", split="eval_50") |
| wiki_6400 = load_dataset("inNexus/parser_dataset", "2wiki_val", split="eval_6400") |
| ``` |
| |
| ## Fields |
| |
| **Train parquet** (consumed by `ParserRLHFDataset`): `prompt`, `context`, `reward_model`, `data_source`. |
| |
| **Eval JSON** |
| |
| - `hqa_val`: `context`, `input`, `answers`, `num_docs`, `index` |
| - `2wiki_val`: same as above, plus `is_ordered`, `is_reverse_ordered`, `min_distance`, `evidence_idx`, `level`, `type`, `id` |
| |
