Datasets:
enriched_web_nlg

- {"en": {"description": "WebNLG is a valuable resource and benchmark for the Natural Language Generation (NLG) community. However, as other NLG benchmarks, it only consists of a collection of parallel raw representations and their corresponding textual realizations. This work aimed to provide intermediate representations of the data for the development and evaluation of popular tasks in the NLG pipeline architecture (Reiter and Dale, 2000), such as Discourse Ordering, Lexicalization, Aggregation and Referring Expression Generation.\n", "citation": "@InProceedings{ferreiraetal2018,\n author = \t\"Castro Ferreira, Thiago and Moussallem, Diego and Wubben, Sander and Krahmer, Emiel\",\n title = \t\"Enriching the WebNLG corpus\",\n booktitle = \t\"Proceedings of the 11th International Conference on Natural Language Generation\",\n year = \t\"2018\",\n series = {INLG'18},\n publisher = \t\"Association for Computational Linguistics\",\n address = \t\"Tilburg, The Netherlands\",\n}\n", "homepage": "https://github.com/ThiagoCF05/webnlg", "license": "CC Attribution-Noncommercial-Share Alike 4.0 International", "features": {"category": {"dtype": "string", "id": null, "_type": "Value"}, "size": {"dtype": "int32", "id": null, "_type": "Value"}, "eid": {"dtype": "string", "id": null, "_type": "Value"}, "original_triple_sets": {"feature": {"otriple_set": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}, "modified_triple_sets": {"feature": {"mtriple_set": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}, "shape": {"dtype": "string", "id": null, "_type": "Value"}, "shape_type": {"dtype": "string", "id": null, "_type": "Value"}, "lex": {"feature": {"comment": {"dtype": "string", "id": null, "_type": "Value"}, "lid": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "template": {"dtype": "string", "id": null, "_type": "Value"}, "sorted_triple_sets": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lexicalization": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "enriched_web_nlg", "config_name": "en", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 14665155, "num_examples": 6940, "dataset_name": "enriched_web_nlg"}, "dev": {"name": "dev", "num_bytes": 1843787, "num_examples": 872, "dataset_name": "enriched_web_nlg"}, "test": {"name": "test", "num_bytes": 3931381, "num_examples": 1862, "dataset_name": "enriched_web_nlg"}}, "download_checksums": {"https://github.com/ThiagoCF05/webnlg/archive/12ca34880b225ebd1eb9db07c64e8dd76f7e5784.zip": {"num_bytes": 44284508, "checksum": "624f8c4bc1ef9f59851d92dec1456607ad2b2dc9242e107a4cb62dad774f68cb"}}, "download_size": 44284508, "post_processing_size": null, "dataset_size": 20440323, "size_in_bytes": 64724831}, "de": {"description": "WebNLG is a valuable resource and benchmark for the Natural Language Generation (NLG) community. However, as other NLG benchmarks, it only consists of a collection of parallel raw representations and their corresponding textual realizations. This work aimed to provide intermediate representations of the data for the development and evaluation of popular tasks in the NLG pipeline architecture (Reiter and Dale, 2000), such as Discourse Ordering, Lexicalization, Aggregation and Referring Expression Generation.\n", "citation": "@InProceedings{ferreiraetal2018,\n author = \t\"Castro Ferreira, Thiago and Moussallem, Diego and Wubben, Sander and Krahmer, Emiel\",\n title = \t\"Enriching the WebNLG corpus\",\n booktitle = \t\"Proceedings of the 11th International Conference on Natural Language Generation\",\n year = \t\"2018\",\n series = {INLG'18},\n publisher = \t\"Association for Computational Linguistics\",\n address = \t\"Tilburg, The Netherlands\",\n}\n", "homepage": "https://github.com/ThiagoCF05/webnlg", "license": "CC Attribution-Noncommercial-Share Alike 4.0 International", "features": {"category": {"dtype": "string", "id": null, "_type": "Value"}, "size": {"dtype": "int32", "id": null, "_type": "Value"}, "eid": {"dtype": "string", "id": null, "_type": "Value"}, "original_triple_sets": {"feature": {"otriple_set": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}, "modified_triple_sets": {"feature": {"mtriple_set": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}, "shape": {"dtype": "string", "id": null, "_type": "Value"}, "shape_type": {"dtype": "string", "id": null, "_type": "Value"}, "lex": {"feature": {"comment": {"dtype": "string", "id": null, "_type": "Value"}, "lid": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "template": {"dtype": "string", "id": null, "_type": "Value"}, "sorted_triple_sets": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "enriched_web_nlg", "config_name": "de", "version": "0.0.0", "splits": {"train": {"name": "train", "num_bytes": 9748193, "num_examples": 6940, "dataset_name": "enriched_web_nlg"}, "dev": {"name": "dev", "num_bytes": 1238609, "num_examples": 872, "dataset_name": "enriched_web_nlg"}}, "download_checksums": {"https://github.com/ThiagoCF05/webnlg/archive/12ca34880b225ebd1eb9db07c64e8dd76f7e5784.zip": {"num_bytes": 44284508, "checksum": "624f8c4bc1ef9f59851d92dec1456607ad2b2dc9242e107a4cb62dad774f68cb"}}, "download_size": 44284508, "post_processing_size": null, "dataset_size": 10986802, "size_in_bytes": 55271310}}