Datasets:
Tasks:
Text Generation
Formats:
csv
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
multimodal
License:
Update README.md
Browse files
README.md
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@@ -44,7 +44,7 @@ evidence_keys: [list] # A list of abstract references or identifiers fo
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evidence_contents: [list] # A list of resolved or actual evidence content corresponding to the `evidence_keys`.
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# These can include text excerpts, image file paths, or table file paths that provide the actual evidence for the answer.
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# Each item in this list corresponds directly to the same-index item in `evidence_keys`.
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# Example: ["This is the content of section 2.1.", "/path/to/
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evidence_modal: [str] # The modality type of the evidence, with possible values: ['figure', 'table', 'text', 'mixed'] indicating the source type of the evidence
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evidence_count: [int] # The total count of all evidence related to the question
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distractor_count: [int] # The total number of distractor items, meaning information blocks that are irrelevant or misleading for the answer
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evidence_contents: [list] # A list of resolved or actual evidence content corresponding to the `evidence_keys`.
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# These can include text excerpts, image file paths, or table file paths that provide the actual evidence for the answer.
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# Each item in this list corresponds directly to the same-index item in `evidence_keys`.
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+
# Example: ["This is the content of section 2.1.", "/path/to/figure_3.jpg"]
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evidence_modal: [str] # The modality type of the evidence, with possible values: ['figure', 'table', 'text', 'mixed'] indicating the source type of the evidence
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evidence_count: [int] # The total count of all evidence related to the question
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distractor_count: [int] # The total number of distractor items, meaning information blocks that are irrelevant or misleading for the answer
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