The dataset preview is not available for this split.
Error code: StreamingRowsError Exception: NonStreamableDatasetError Message: Streaming is not possible for this dataset because data host server doesn't support HTTP range requests. You can still load this dataset in non-streaming mode by passing `streaming=False` (default) Traceback: Traceback (most recent call last): File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 495, in xopen file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open() File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 419, in open return open_files( File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 272, in open_files fs, fs_token, paths = get_fs_token_paths( File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 586, in get_fs_token_paths fs = filesystem(protocol, **inkwargs) File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 252, in filesystem return cls(**storage_options) File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 76, in __call__ obj = super().__call__(*args, **kwargs) File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 54, in __init__ self.zip = zipfile.ZipFile(self.fo, mode=mode) File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__ self._RealGetContents() File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents endrec = _EndRecData(fp) File "/usr/local/lib/python3.9/zipfile.py", line 263, in _EndRecData fpin.seek(0, 2) File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 737, in seek raise ValueError("Cannot seek streaming HTTP file") ValueError: Cannot seek streaming HTTP file The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response rows = get_rows( File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator return func(*args, **kwargs) File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 176, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 917, in __iter__ for key, example in ex_iterable: File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 113, in __iter__ yield from self.generate_examples_fn(**self.kwargs) File "/tmp/modules-cache/datasets_modules/datasets/climate_fever/60c6cf5ebdf73f1cad68b9a15e9da57d65e2d35416a13516080f6a0a34d8cbe6/climate_fever.py", line 110, in _generate_examples with open(filepath, encoding="utf-8") as f: File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 70, in wrapper return function(*args, use_auth_token=use_auth_token, **kwargs) File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 498, in xopen raise NonStreamableDatasetError( datasets.download.streaming_download_manager.NonStreamableDatasetError: Streaming is not possible for this dataset because data host server doesn't support HTTP range requests. You can still load this dataset in non-streaming mode by passing `streaming=False` (default)
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Dataset Card for ClimateFever
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
: astring
feature, unique claim identifier.claim
: astring
feature, claim text.claim_label
: aint
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
: astring
feature, unique evidence identifier.evidence_label
: aint
feature, micro-verdict label. The label correspond to 0: "supports", 1: "refutes" and 2: "not enough info".article
: astring
feature, title of source article (Wikipedia page).evidence
: astring
feature, evidence sentence.entropy
: afloat32
feature, entropy reflecting uncertainty ofevidence_label
.votes
: alist
ofstring
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.
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