Scitldr

ds = tfds.load('huggingface:scitldr/Abstract')

A new multi-target dataset of 5.4K TLDRs over 3.2K papers.
SCITLDR contains both author-written and expert-derived TLDRs,
where the latter are collected using a novel annotation protocol
that produces high-quality summaries while minimizing annotation burden.

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    "source_labels": {
        "feature": {
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            "names": [
                "non-oracle",
                "oracle"
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}

ds = tfds.load('huggingface:scitldr/AIC')

A new multi-target dataset of 5.4K TLDRs over 3.2K papers.
SCITLDR contains both author-written and expert-derived TLDRs,
where the latter are collected using a novel annotation protocol
that produces high-quality summaries while minimizing annotation burden.

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        "dtype": "string",
        "id": null,
        "_type": "Value"
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    "ic": {
        "dtype": "bool_",
        "id": null,
        "_type": "Value"
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            "dtype": "string",
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}

ds = tfds.load('huggingface:scitldr/FullText')

A new multi-target dataset of 5.4K TLDRs over 3.2K papers.
SCITLDR contains both author-written and expert-derived TLDRs,
where the latter are collected using a novel annotation protocol
that produces high-quality summaries while minimizing annotation burden.

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    "source_labels": {
        "feature": {
            "num_classes": 2,
            "names": [
                "non-oracle",
                "oracle"
            ],
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}