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Datasets:
vcmt794
/
mocheg-test

Tasks:
Text Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
Tags:
fact-checking
mocheg
multimodal
Libraries:
Datasets
License:
Dataset card Data Studio Files
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YAML Metadata Warning: The task_categories "multimodal" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

mocheg-multimodal

This is a HuggingFace-ready version of the MOCHEG multimodal fact-checking dataset.

Structure

  • train.json: One row per (claim, evidence)
  • images/: Sharded image evidence
  • *_qrels.csv: Original retrieval relevance files

Fields (train.json)

  • claim_id
  • claim
  • evidence_id
  • text_evidence
  • label (support / refute / not enough information)
  • ruling_outline
  • origin
  • snopes_url
  • image (relative path)

Citation

Please cite the original MOCHEG paper if you use this dataset.

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Size of the auto-converted Parquet files:
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Number of rows:
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