aspect-paper-embeddings / dataset_infos.json
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{"malteos--aspect-paper-embeddings": {"description": "Research papers from the paperswithcode.com corpus embedded according to their task, method, or dataset.", "citation": "@InProceedings{Ostendorff2022,\n title = {Specialized Document Embeddings for Aspect-based Similarity of Research Papers},\n booktitle = {Proceedings of the {ACM}/{IEEE} {Joint} {Conference} on {Digital} {Libraries} ({JCDL})},\n author = {Ostendorff, Malte and Blume, Till, Ruas, Terry and Gipp, Bela and Rehm, Georg},\n year = {2022},\n}", "homepage": "https://github.com/malteos/aspect-document-embeddings", "license": "mit", "features": {"paper_id": {"dtype": "string", "id": null, "_type": "Value"}, "paper_url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "abstract": {"dtype": "string", "id": null, "_type": "Value"}, "arxiv_id": {"dtype": "string", "id": null, "_type": "Value"}, "url_abs": {"dtype": "string", "id": null, "_type": "Value"}, "url_pdf": {"dtype": "string", "id": null, "_type": "Value"}, "aspect_tasks": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "aspect_methods": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "aspect_datasets": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "task_embeddings": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "method_embeddings": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "dataset_embeddings": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": null, "config_name": "aspect-paper-embeddings", "version": null, "splits": {"train": {"name": "train", "num_bytes": 1677131916, "num_examples": 157606, "dataset_name": "aspect-paper-embeddings"}}, "download_checksums": null, "download_size": 1600411952, "post_processing_size": null, "dataset_size": 1677131916, "size_in_bytes": 3277543868}}