Hugging Face's logo

Datasets:
corag
/
kilt

Modalities:
Text
Formats:
parquet
Size:
1M - 10M
ArXiv:
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
kilt / README.md
intfloat's picture
intfloat
Update README.md
d3f3f90 verified
preview code
|
raw
history blame contribute delete
9.15 kB
metadata
license: apache-2.0
configs:
  - config_name: aidayago2
    data_files:
      - split: train
        path: aidayago2/train-*
      - split: validation
        path: aidayago2/validation-*
      - split: test
        path: aidayago2/test-*
  - config_name: blink
    data_files:
      - split: train
        path: blink/train-*
  - config_name: cweb
    data_files:
      - split: validation
        path: cweb/validation-*
      - split: test
        path: cweb/test-*
  - config_name: eli5
    data_files:
      - split: train
        path: eli5/train-*
      - split: validation
        path: eli5/validation-*
      - split: test
        path: eli5/test-*
  - config_name: fever
    data_files:
      - split: train
        path: fever/train-*
      - split: validation
        path: fever/validation-*
      - split: test
        path: fever/test-*
  - config_name: hotpotqa
    data_files:
      - split: train
        path: hotpotqa/train-*
      - split: validation
        path: hotpotqa/validation-*
      - split: test
        path: hotpotqa/test-*
  - config_name: nq
    data_files:
      - split: train
        path: nq/train-*
      - split: validation
        path: nq/validation-*
      - split: test
        path: nq/test-*
  - config_name: structured_zeroshot
    data_files:
      - split: train
        path: structured_zeroshot/train-*
      - split: validation
        path: structured_zeroshot/validation-*
      - split: test
        path: structured_zeroshot/test-*
  - config_name: trex
    data_files:
      - split: train
        path: trex/train-*
      - split: validation
        path: trex/validation-*
      - split: test
        path: trex/test-*
  - config_name: triviaqa
    data_files:
      - split: train
        path: triviaqa/train-*
      - split: validation
        path: triviaqa/validation-*
      - split: test
        path: triviaqa/test-*
  - config_name: wned
    data_files:
      - split: validation
        path: wned/validation-*
      - split: test
        path: wned/test-*
  - config_name: wow
    data_files:
      - split: train
        path: wow/train-*
      - split: validation
        path: wow/validation-*
      - split: test
        path: wow/test-*
dataset_info:
  - config_name: aidayago2
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 55864609
        num_examples: 18395
      - name: validation
        num_bytes: 15955325
        num_examples: 4784
      - name: test
        num_bytes: 12471688
        num_examples: 4463
    download_size: 18666928
    dataset_size: 84291622
  - config_name: blink
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 175321157
        num_examples: 100000
    download_size: 111935980
    dataset_size: 175321157
  - config_name: cweb
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: validation
        num_bytes: 51475085
        num_examples: 5599
      - name: test
        num_bytes: 56279580
        num_examples: 5543
    download_size: 23161761
    dataset_size: 107754665
  - config_name: eli5
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 609110956
        num_examples: 200000
      - name: validation
        num_bytes: 12214766
        num_examples: 1507
      - name: test
        num_bytes: 769699
        num_examples: 600
    download_size: 381533571
    dataset_size: 622095421
  - config_name: fever
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 130671464
        num_examples: 104966
      - name: validation
        num_bytes: 13054824
        num_examples: 10444
      - name: test
        num_bytes: 12535921
        num_examples: 10100
    download_size: 86214810
    dataset_size: 156262209
  - config_name: hotpotqa
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 118290457
        num_examples: 88869
      - name: validation
        num_bytes: 7385175
        num_examples: 5600
      - name: test
        num_bytes: 7236506
        num_examples: 5569
    download_size: 92994403
    dataset_size: 132912138
  - config_name: nq
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 111181156
        num_examples: 87372
      - name: validation
        num_bytes: 3699165
        num_examples: 2837
      - name: test
        num_bytes: 1805683
        num_examples: 1444
    download_size: 73218512
    dataset_size: 116686004
  - config_name: structured_zeroshot
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 188554112
        num_examples: 147909
      - name: validation
        num_bytes: 4754817
        num_examples: 3724
      - name: test
        num_bytes: 6242056
        num_examples: 4966
    download_size: 128366579
    dataset_size: 199550985
  - config_name: trex
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 267341864
        num_examples: 200000
      - name: validation
        num_bytes: 6672336
        num_examples: 5000
      - name: test
        num_bytes: 6292578
        num_examples: 5000
    download_size: 205161484
    dataset_size: 280306778
  - config_name: triviaqa
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 112256098
        num_examples: 61817
      - name: validation
        num_bytes: 9990772
        num_examples: 5355
      - name: test
        num_bytes: 8343733
        num_examples: 6578
    download_size: 75758558
    dataset_size: 130590603
  - config_name: wned
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: validation
        num_bytes: 10296438
        num_examples: 3396
      - name: test
        num_bytes: 10594837
        num_examples: 3376
    download_size: 6055450
    dataset_size: 20891275
  - config_name: wow
    features:
      - name: query
        dtype: string
      - name: query_id
        dtype: string
      - name: answers
        sequence: string
      - name: context_doc_ids
        sequence: string
    splits:
      - name: train
        num_bytes: 108554875
        num_examples: 63734
      - name: validation
        num_bytes: 5183194
        num_examples: 3054
      - name: test
        num_bytes: 4704307
        num_examples: 2944
    download_size: 63159586
    dataset_size: 118442376

KILT Benchmark with Top-k Retrieval Results

This dataset is a modified version of the KILT Benchmark from the paper "KILT: a benchmark for knowledge intensive language tasks". It includes additional top-k retrieval results used in the paper "Chain-of-Retrieval Augmented Generation".

Differences from the Original KILT Dataset

The primary difference is the addition of the context_doc_ids field. This field provides the IDs of the top-k documents retrieved during the CoRAG experiments. You can use these IDs to retrieve the corresponding document content from the corag/kilt-corpus dataset at https://huggingface.co/datasets/corag/kilt-corpus.

Fields

  • query_id: The ID of the query.
  • query: The text of the query.
  • answers: The answers to the query.
  • context_doc_ids: The IDs of the top-k documents retrieved for the query.

Usage

To use this dataset, you can load it using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("corag/kilt", "hotpotqa", split="train")

print(dataset)
print(dataset[0])

Caveats

  1. Due to issues with ID mapping, a small number of questions are missing from the TriviaQA dataset. However, this is expected to have a negligible impact on overall evaluation metrics.

References 

@inproceedings{petroni2021kilt,
  title={KILT: a benchmark for knowledge intensive language tasks},
  author={Petroni, Fabio and Lewis, Patrick and Rockt{\"a}schel, Tim and Riedel, Sebastian and Yih, Wen-tau},
  booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  pages={1113--1131},
  year={2021}
}

@article{wang2025chain,
  title={Chain-of-Retrieval Augmented Generation},
  author={Wang, Liang and Chen, Haonan and Yang, Nan and Huang, Xiaolong and Dou, Zhicheng and Wei, Furu},
  journal={arXiv preprint arXiv:2501.14342},
  year={2025}
}