Hugging Face's logo

Datasets:
tdiggelm
/
climate_fever

Tasks:
Text Classification
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
text-scoring
fact-checking
fact-checking-retrieval
Languages:
English
Size:
1K - 10K
ArXiv:
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
7
climate_fever / README.md
albertvillanova's picture
albertvillanova HF staff
Convert dataset to Parquet (#6)
ae61ccb verified
preview code
|
raw
history blame
8.09 kB
metadata
annotations_creators:
  - crowdsourced
  - expert-generated
language_creators:
  - found
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - extended|wikipedia
  - original
task_categories:
  - text-classification
  - text-retrieval
task_ids:
  - text-scoring
  - fact-checking
  - fact-checking-retrieval
  - semantic-similarity-scoring
  - multi-input-text-classification
paperswithcode_id: climate-fever
pretty_name: ClimateFever
dataset_info:
  features:
    - name: claim_id
      dtype: string
    - name: claim
      dtype: string
    - name: claim_label
      dtype:
        class_label:
          names:
            '0': SUPPORTS
            '1': REFUTES
            '2': NOT_ENOUGH_INFO
            '3': DISPUTED
    - name: evidences
      list:
        - name: evidence_id
          dtype: string
        - name: evidence_label
          dtype:
            class_label:
              names:
                '0': SUPPORTS
                '1': REFUTES
                '2': NOT_ENOUGH_INFO
        - name: article
          dtype: string
        - name: evidence
          dtype: string
        - name: entropy
          dtype: float32
        - name: votes
          list: string
  splits:
    - name: test
      num_bytes: 2429240
      num_examples: 1535
  download_size: 868947
  dataset_size: 2429240
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*

Dataset Card for ClimateFever

Table of Contents

Dataset Description

Dataset Summary

A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

The text in the dataset is in English, as found in real-world claims about climate-change on the Internet. The associated BCP-47 code is en.

Dataset Structure

Data Instances 

{
  "claim_id": "0",
  "claim": "Global warming is driving polar bears toward extinction",
  "claim_label": 0,  # "SUPPORTS"
  "evidences": [
    {
     "evidence_id": "Extinction risk from global warming:170",
     "evidence_label": 2,  # "NOT_ENOUGH_INFO"
     "article": "Extinction risk from global warming",
     "evidence": "\"Recent Research Shows Human Activity Driving Earth Towards Global Extinction Event\".",
     "entropy": 0.6931471805599453,
     "votes": [
      "SUPPORTS",
      "NOT_ENOUGH_INFO",
      null,
      null,
      null
     ]
    },
    {
     "evidence_id": "Global warming:14",
     "evidence_label": 0,  # "SUPPORTS"
     "article": "Global warming",
     "evidence": "Environmental impacts include the extinction or relocation of many species as their ecosystems change, most immediately the environments of coral reefs, mountains, and the Arctic.",
     "entropy": 0.0,
     "votes": [
      "SUPPORTS",
      "SUPPORTS",
      null,
      null,
      null
     ]
    },
    {
     "evidence_id": "Global warming:178",
     "evidence_label": 2,  # "NOT_ENOUGH_INFO"
     "article": "Global warming",
     "evidence": "Rising temperatures push bees to their physiological limits, and could cause the extinction of bee populations.",
     "entropy": 0.6931471805599453,
     "votes": [
      "SUPPORTS",
      "NOT_ENOUGH_INFO",
      null,
      null,
      null
     ]
    },
    {
     "evidence_id": "Habitat destruction:61",
     "evidence_label": 0,  # "SUPPORTS"
     "article": "Habitat destruction",
     "evidence": "Rising global temperatures, caused by the greenhouse effect, contribute to habitat destruction, endangering various species, such as the polar bear.",
     "entropy": 0.0,
     "votes": [
      "SUPPORTS",
      "SUPPORTS",
      null,
      null,
      null
     ]
    },
    {
     "evidence_id": "Polar bear:1328",
     "evidence_label": 2,  # "NOT_ENOUGH_INFO"
     "article": "Polar bear",
     "evidence": "\"Bear hunting caught in global warming debate\".",
     "entropy": 0.6931471805599453,
     "votes": [
      "SUPPORTS",
      "NOT_ENOUGH_INFO",
      null,
      null,
      null
     ]
    }
  ]
}

Data Fields

  • claim_id: a string feature, unique claim identifier.
  • claim: a string feature, claim text.
  • claim_label: a int feature, overall label assigned to claim (based on evidence majority vote). The label correspond to 0: "supports", 1: "refutes", 2: "not enough info" and 3: "disputed".
  • evidences: a list of evidences with fields:
  • evidence_id: a string feature, unique evidence identifier.
  • evidence_label: a int feature, micro-verdict label. The label correspond to 0: "supports", 1: "refutes" and 2: "not enough info".
  • article: a string feature, title of source article (Wikipedia page).
  • evidence: a string feature, evidence sentence.
  • entropy: a float32 feature, entropy reflecting uncertainty of evidence_label.
  • votes: a list of string features, corresponding to individual votes.

Data Splits

This benchmark dataset currently consists of a single data split test that consists of 1,535 claims or 7,675 claim-evidence pairs.

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

[Needs More Information]

Citation Information 

@misc{diggelmann2020climatefever,
      title={CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims},
      author={Thomas Diggelmann and Jordan Boyd-Graber and Jannis Bulian and Massimiliano Ciaramita and Markus Leippold},
      year={2020},
      eprint={2012.00614},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Contributions

Thanks to @tdiggelm for adding this dataset.