---
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`