Datasets:
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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`
|