| { | |
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| "@language": "en", | |
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| "citeAs": "cr:citeAs", | |
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| "contentUrl": "https://huggingface.co/datasets/ibm/duorc/tree/refs%2Fconvert%2Fparquet", | |
| "encodingFormat": "git+https", | |
| "sha256": "https://github.com/mlcommons/croissant/issues/80" | |
| }, | |
| { | |
| "@type": "cr:FileSet", | |
| "@id": "parquet-files-for-config-ParaphraseRC", | |
| "name": "parquet-files-for-config-ParaphraseRC", | |
| "description": "The underlying Parquet files as converted by Hugging Face (see: https://huggingface.co/docs/datasets-server/parquet).", | |
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| { | |
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| "description": "ibm/duorc - 'ParaphraseRC' subset\n\nAdditional information:\n- 3 splits: train, validation, test\n- 1 skipped column: answers", | |
| "field": [ | |
| { | |
| "@type": "cr:Field", | |
| "@id": "ParaphraseRC/plot_id", | |
| "name": "ParaphraseRC/plot_id", | |
| "description": "Column 'plot_id' from the Hugging Face parquet file.", | |
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| }, | |
| { | |
| "@type": "cr:Field", | |
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| "name": "ParaphraseRC/title", | |
| "description": "Column 'title' from the Hugging Face parquet file.", | |
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| { | |
| "@type": "cr:Field", | |
| "@id": "ParaphraseRC/question_id", | |
| "name": "ParaphraseRC/question_id", | |
| "description": "Column 'question_id' from the Hugging Face parquet file.", | |
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| "source": { | |
| "fileSet": { | |
| "@id": "parquet-files-for-config-ParaphraseRC" | |
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| }, | |
| { | |
| "@type": "cr:Field", | |
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| { | |
| "@type": "cr:Field", | |
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| "name": "ParaphraseRC/no_answer", | |
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| "source": { | |
| "fileSet": { | |
| "@id": "parquet-files-for-config-ParaphraseRC" | |
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| { | |
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| "name": "SelfRC", | |
| "description": "ibm/duorc - 'SelfRC' subset\n\nAdditional information:\n- 3 splits: train, validation, test\n- 1 skipped column: answers", | |
| "field": [ | |
| { | |
| "@type": "cr:Field", | |
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| "name": "SelfRC/plot_id", | |
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| { | |
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| { | |
| "@type": "cr:Field", | |
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| "name": "SelfRC/question_id", | |
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| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "SelfRC/question", | |
| "name": "SelfRC/question", | |
| "description": "Column 'question' from the Hugging Face parquet file.", | |
| "dataType": "sc:Text", | |
| "source": { | |
| "fileSet": { | |
| "@id": "parquet-files-for-config-SelfRC" | |
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| "extract": { | |
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| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "SelfRC/no_answer", | |
| "name": "SelfRC/no_answer", | |
| "description": "Column 'no_answer' from the Hugging Face parquet file.", | |
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| "source": { | |
| "fileSet": { | |
| "@id": "parquet-files-for-config-SelfRC" | |
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| "extract": { | |
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| ], | |
| "conformsTo": "http://mlcommons.org/croissant/1.0", | |
| "name": "duorc", | |
| "description": "\n\t\n\t\t\n\t\n\t\n\t\tDataset Card for duorc\n\t\n\n\n\t\n\t\t\n\t\n\t\n\t\tDataset Summary\n\t\n\nThe DuoRC dataset is an English language dataset of questions and answers gathered from crowdsourced AMT workers on Wikipedia and IMDb movie plots. The workers were given freedom to pick answer from the plots or synthesize their own answers. It contains two sub-datasets - SelfRC and ParaphraseRC. SelfRC dataset is built on Wikipedia movie plots solely. ParaphraseRC has questions written from Wikipedia movie plots and the\u2026 See the full description on the dataset page: https://huggingface.co/datasets/ibm/duorc.", | |
| "alternateName": [ | |
| "ibm/duorc", | |
| "DuoRC" | |
| ], | |
| "creator": { | |
| "@type": "Organization", | |
| "name": "IBM", | |
| "url": "https://huggingface.co/ibm" | |
| }, | |
| "keywords": [ | |
| "question-answering", | |
| "text2text-generation", | |
| "abstractive-qa", | |
| "extractive-qa", | |
| "crowdsourced", | |
| "crowdsourced", | |
| "monolingual", | |
| "100K<n<1M", | |
| "10K<n<100K", | |
| "original", | |
| "English", | |
| "mit", | |
| "Croissant", | |
| "arxiv:1804.07927", | |
| "\ud83c\uddfa\ud83c\uddf8 Region: US" | |
| ], | |
| "license": "https://choosealicense.com/licenses/mit/", | |
| "sameAs": "https://duorc.github.io/", | |
| "url": "https://huggingface.co/datasets/ibm/duorc" | |
| } |