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Dataset

Hotpot Qa

Name: Hotpot Qa
Creator: hotpotqa
License: ["cc-by-sa-4.0"]

by hotpotqa hf-dataset--hotpotqa--hotpot_qa

Nexus Index

24.0 Top 2%

S / A / P / R / Q Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context

Vital Performance

0 DL / 30D

0.0%

--- annotations_creators: - crowdsourced language: - en language_creators: - found cc-by-sa-4.0 multilinguality: - monolingual pretty_name: HotpotQA size_categories: - 100K

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Dataset Information Summary
Entity Passport
Registry ID	hf-dataset--hotpotqa--hotpot_qa
Provider	huggingface

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Cite this dataset

Academic & Research Attribution

BibTeX

@misc{hf_dataset__hotpotqa__hotpot_qa,
  author = {hotpotqa},
  title = {Hotpot Qa Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/hotpotqa/hotpot_qa}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

hotpotqa. (2026). Hotpot Qa [Dataset]. Free2AITools. https://huggingface.co/datasets/hotpotqa/hotpot_qa

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Nexus Index V2.0

Methodology Index Protocol

24.0

ESTIMATED IMPACT TIER

Semantic (S) 50

Authority (A) 0

Popularity (P) 0

Recency (R) 0

Quality (Q) 0

💬 Index Insight

FNI V2.0 for Hotpot Qa: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

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Downloads

54,260

❤️

Likes

269

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Schema structure is shown in the Field Logic panel when available.

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Dataset Specification

annotations_creators:

crowdsourced
language:
en
language_creators:
found
license:
cc-by-sa-4.0
multilinguality:
monolingual
pretty_name: HotpotQA
size_categories:
100K<n<1M
source_datasets:
original
task_categories:
question-answering
task_ids: []
paperswithcode_id: hotpotqa
tags:
multi-hop
dataset_info:
config_name: distractor
features:
- name: id
  dtype: string
- name: question
  dtype: string
- name: answer
  dtype: string
- name: type
  dtype: string
- name: level
  dtype: string
- name: supporting_facts
  sequence:
  - name: title
    dtype: string
  - name: sent_id
    dtype: int32
- name: context
  sequence:
  - name: title
    dtype: string
  - name: sentences
    sequence: string
    splits:
- name: train
  num_bytes: 552948795
  num_examples: 90447
- name: validation
  num_bytes: 45716059
  num_examples: 7405
  download_size: 359239231
  dataset_size: 598664854
config_name: fullwiki
features:
- name: id
  dtype: string
- name: question
  dtype: string
- name: answer
  dtype: string
- name: type
  dtype: string
- name: level
  dtype: string
- name: supporting_facts
  sequence:
  - name: title
    dtype: string
  - name: sent_id
    dtype: int32
- name: context
  sequence:
  - name: title
    dtype: string
  - name: sentences
    sequence: string
    splits:
- name: train
  num_bytes: 552948795
  num_examples: 90447
- name: validation
  num_bytes: 46848549
  num_examples: 7405
- name: test
  num_bytes: 45999922
  num_examples: 7405
  download_size: 387387120
  dataset_size: 645797266
  configs:
config_name: distractor
data_files:
- split: train
  path: distractor/train-*
- split: validation
  path: distractor/validation-*
config_name: fullwiki
data_files:
- split: train
  path: fullwiki/train-*
- split: validation
  path: fullwiki/validation-*
- split: test
  path: fullwiki/test-*

Dataset Card for "hotpot_qa"

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://hotpotqa.github.io/
Repository: https://github.com/hotpotqa/hotpot
Paper: HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Point of Contact: More Information Needed
Size of downloaded dataset files: 1.27 GB
Size of the generated dataset: 1.24 GB
Total amount of disk used: 2.52 GB

Dataset Summary

HotpotQA is a new dataset with 113k Wikipedia-based question-answer pairs with four key features: (1) the questions require finding and reasoning over multiple supporting documents to answer; (2) the questions are diverse and not constrained to any pre-existing knowledge bases or knowledge schemas; (3) we provide sentence-level supporting facts required for reasoning, allowingQA systems to reason with strong supervision and explain the predictions; (4) we offer a new type of factoid comparison questions to test QA systems’ ability to extract relevant facts and perform necessary comparison.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

distractor

Size of downloaded dataset files: 612.75 MB
Size of the generated dataset: 598.66 MB
Total amount of disk used: 1.21 GB

An example of 'validation' looks as follows.

{
    "answer": "This is the answer",
    "context": {
        "sentences": [["Sent 1"], ["Sent 21", "Sent 22"]],
        "title": ["Title1", "Title 2"]
    },
    "id": "000001",
    "level": "medium",
    "question": "What is the answer?",
    "supporting_facts": {
        "sent_id": [0, 1, 3],
        "title": ["Title of para 1", "Title of para 2", "Title of para 3"]
    },
    "type": "comparison"
}

fullwiki

Size of downloaded dataset files: 660.10 MB
Size of the generated dataset: 645.80 MB
Total amount of disk used: 1.31 GB

An example of 'train' looks as follows.

{
    "answer": "This is the answer",
    "context": {
        "sentences": [["Sent 1"], ["Sent 2"]],
        "title": ["Title1", "Title 2"]
    },
    "id": "000001",
    "level": "hard",
    "question": "What is the answer?",
    "supporting_facts": {
        "sent_id": [0, 1, 3],
        "title": ["Title of para 1", "Title of para 2", "Title of para 3"]
    },
    "type": "bridge"
}

Data Fields

The data fields are the same among all splits.

distractor

id: a string feature.
question: a string feature.
answer: a string feature.
type: a string feature.
level: a string feature.
supporting_facts: a dictionary feature containing:
- title: a string feature.
- sent_id: a int32 feature.
context: a dictionary feature containing:
- title: a string feature.
- sentences: a list of string features.

fullwiki

id: a string feature.
question: a string feature.
answer: a string feature.
type: a string feature.
level: a string feature.
supporting_facts: a dictionary feature containing:
- title: a string feature.
- sent_id: a int32 feature.
context: a dictionary feature containing:
- title: a string feature.
- sentences: a list of string features.

Data Splits

distractor

	train	validation
distractor	90447	7405

fullwiki

	train	validation	test
fullwiki	90447	7405	7405

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

HotpotQA is distributed under a CC BY-SA 4.0 License.

Citation Information

@inproceedings{yang2018hotpotqa,
  title={{HotpotQA}: A Dataset for Diverse, Explainable Multi-hop Question Answering},
  author={Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William W. and Salakhutdinov, Ruslan and Manning, Christopher D.},
  booktitle={Conference on Empirical Methods in Natural Language Processing ({EMNLP})},
  year={2018}
}

Contributions

Thanks to @albertvillanova, @ghomasHudson for adding this dataset.

Top Tier

Social Proof

HuggingFace Hub

269Likes

54.3KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

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AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡️ Dataset Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id: hf-dataset--hotpotqa--hotpot_qa
source: huggingface
author: hotpotqa
tags: task_categories:question-answeringannotations_creators:crowdsourcedlanguage_creators:foundmultilinguality:monolingualsource_datasets:originallanguage:enlicense:cc-by-sa-4.0size_categories:100kformat:parquetmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantarxiv:1809.09600region:usmulti-hop

⚙️ Technical Specs

architecture: GQA
params billions: null
context length: null

📊 Engagement & Metrics

likes: 269
downloads: 54,260

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Dataset Specification

Dataset Card for "hotpot_qa"

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks and Leaderboards

Languages

Dataset Structure

Data Instances

distractor

fullwiki

Data Fields

distractor

fullwiki

Data Splits

distractor

fullwiki

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation process

Who are the annotators?

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

Citation Information

Contributions

Social Proof

🛡️ Dataset Transparency Report

🆔 Identity & Source

⚙️ Technical Specs

📊 Engagement & Metrics