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dataset_infos.json

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+{"ghomasHudson--muld_VLSP": {"description": "MuLD: The Multitask Long Document Benchmark\nA set of NLP tasks where each example is over 10,000 tokens long.\nWe follow the  process of the Scientific papers (Cohan  et  al.,2018) summarization  dataset, extracting papers from the open-access preprint server Arxiv.org using both the arxiv short abstract and the one included in the document (where available) as the reference summaries. In contrast to Cohan et al. (2018), rather than removing very long documents, we explicitly include them - removing any document with less than 10,000 tokens.", "citation": "\n@misc{hudson2022muld,\n    title{MuLD: The Multitask Long Document Benchmark},\n    author={G Thomas Hudson, Noura Al Moubayed}\n    year={2022},\n    eprint={TODO},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\nSome of these datasets are directly based on existing datasets. Please cite these works.\n", "homepage": "https://github.com/ghomasHudson/muld", "license": "", "features": {"input": {"dtype": "string", "id": null, "_type": "Value"}, "output": [{"dtype": "string", "id": null, "_type": "Value"}], "metadata": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "muld", "config_name": "VLSP", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 104380667, "num_examples": 478, "dataset_name": "muld_VLSP"}}, "download_checksums": null, "download_size": 46683851, "post_processing_size": null, "dataset_size": 104380667, "size_in_bytes": 151064518}}