add dummy and infos

dataset_infos.json

@@ -0,0 +1 @@
+{"REBEL": {"description": "REBEL is a silver dataset created for the paper REBEL: Relation Extraction By End-to-end Language generation\n", "citation": "    @inproceedings{huguet-cabot-navigli-2021-rebel,\n    title = \"REBEL: Relation Extraction By End-to-end Language generation\",\n    author = \"Huguet Cabot, Pere-Llu{'\\i}s  and\n      Navigli, Roberto\",\n    booktitle = \"Findings of the Association for Computational Linguistics: EMNLP 2021\",\n    month = nov,\n    year = \"2021\",\n    address = \"Online and in the Barcel\u00f3 B\u00e1varo Convention Centre, Punta Cana, Dominican Republic\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://github.com/Babelscape/rebel/blob/main/docs/EMNLP_2021_REBEL__Camera_Ready_.pdf\",\n    }\n", "homepage": "https://github.com/Babelscape/rebel", "license": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "triplets": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "rebel", "config_name": "REBEL", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1079651403, "num_examples": 3120296, "dataset_name": "rebel"}, "validation": {"name": "validation", "num_bytes": 59712299, "num_examples": 172860, "dataset_name": "rebel"}, "test": {"name": "test", "num_bytes": 59909573, "num_examples": 173601, "dataset_name": "rebel"}}, "download_checksums": {"https://huggingface.co/datasets/Babelscape/rebel-dataset/resolve/main/rebel_dataset.zip": {"num_bytes": 1490017445, "checksum": "3e5a84a32b604b80617acc868ae3437e00f07e88244d72fbda44ccfbb3989980"}}, "download_size": 1490017445, "post_processing_size": null, "dataset_size": 1199273275, "size_in_bytes": 2689290720}}

dummy/REBEL/1.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d20b40971f485441daf6012ad2d20a6f4523f18684447657c4770f3b0e72398e
+size 10177

rebel.py

@@ -21,29 +21,17 @@ _URLS = {
 }
 _LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)"
 _CITATION = """\
-
     @inproceedings{huguet-cabot-navigli-2021-rebel,
-
     title = "REBEL: Relation Extraction By End-to-end Language generation",
-
     author = "Huguet Cabot, Pere-Llu{\'\i}s  and
-
       Navigli, Roberto",
-
     booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
-
     month = nov,
-
     year = "2021",
-
     address = "Online and in the Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic",
-
     publisher = "Association for Computational Linguistics",
-
     url = "https://github.com/Babelscape/rebel/blob/main/docs/EMNLP_2021_REBEL__Camera_Ready_.pdf",
-
     }
-
 """
 _HOMEPAGE = "https://github.com/Babelscape/rebel"