Datasets:

Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
albertvillanova HF staff commited on
Commit
7d17b78
1 Parent(s): bf6176d

Delete legacy JSON metadata (#2)

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- Delete legacy JSON metadata (7d1a1b46bbd770951f564bd673188e062f6c8150)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
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- {"ca": {"description": "MultiBooked is a corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification.\n\nThe corpora are compiled from hotel reviews taken mainly from booking.com. The corpora are in Kaf/Naf format, which is\nan xml-style stand-off format that allows for multiple layers of annotation. Each review was sentence- and\nword-tokenized and lemmatized using Freeling for Catalan and ixa-pipes for Basque. Finally, for each language two\nannotators annotated opinion holders, opinion targets, and opinion expressions for each review, following the\nguidelines set out in the OpeNER project.\n", "citation": "@inproceedings{Barnes2018multibooked,\n author={Barnes, Jeremy and Lambert, Patrik and Badia, Toni},\n title={MultiBooked: A corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification},\n booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC'18)},\n year = {2018},\n month = {May},\n date = {7-12},\n address = {Miyazaki, Japan},\n publisher = {European Language Resources Association (ELRA)},\n language = {english}\n}\n", "homepage": "http://hdl.handle.net/10230/33928", "license": "CC-BY 3.0", "features": {"text": {"feature": {"wid": {"dtype": "string", "id": null, "_type": "Value"}, "sent": {"dtype": "string", "id": null, "_type": "Value"}, "para": {"dtype": "string", "id": null, "_type": "Value"}, "word": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "terms": {"feature": {"tid": {"dtype": "string", "id": null, "_type": "Value"}, "lemma": {"dtype": "string", "id": null, "_type": "Value"}, "morphofeat": {"dtype": "string", "id": null, "_type": "Value"}, "pos": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}, "opinions": {"feature": {"oid": {"dtype": "string", "id": null, "_type": "Value"}, "opinion_holder_target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "opinion_target_target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "opinion_expression_polarity": {"num_classes": 4, "names": ["StrongNegative", "Negative", "Positive", "StrongPositive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "opinion_expression_target": {"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": "multi_booked", "config_name": "ca", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1952731, "num_examples": 567, "dataset_name": "multi_booked"}}, "download_checksums": {"https://github.com/jerbarnes/multibooked/archive/master.zip": {"num_bytes": 4429415, "checksum": "c9512b7fe0e5afc690aaf0205d61bc37e68836e008db05f17643a0de57007c80"}}, "download_size": 4429415, "post_processing_size": null, "dataset_size": 1952731, "size_in_bytes": 6382146}, "eu": {"description": "MultiBooked is a corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification.\n\nThe corpora are compiled from hotel reviews taken mainly from booking.com. The corpora are in Kaf/Naf format, which is\nan xml-style stand-off format that allows for multiple layers of annotation. Each review was sentence- and\nword-tokenized and lemmatized using Freeling for Catalan and ixa-pipes for Basque. Finally, for each language two\nannotators annotated opinion holders, opinion targets, and opinion expressions for each review, following the\nguidelines set out in the OpeNER project.\n", "citation": "@inproceedings{Barnes2018multibooked,\n author={Barnes, Jeremy and Lambert, Patrik and Badia, Toni},\n title={MultiBooked: A corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification},\n booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC'18)},\n year = {2018},\n month = {May},\n date = {7-12},\n address = {Miyazaki, Japan},\n publisher = {European Language Resources Association (ELRA)},\n language = {english}\n}\n", "homepage": "http://hdl.handle.net/10230/33928", "license": "CC-BY 3.0", "features": {"text": {"feature": {"wid": {"dtype": "string", "id": null, "_type": "Value"}, "sent": {"dtype": "string", "id": null, "_type": "Value"}, "para": {"dtype": "string", "id": null, "_type": "Value"}, "word": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "terms": {"feature": {"tid": {"dtype": "string", "id": null, "_type": "Value"}, "lemma": {"dtype": "string", "id": null, "_type": "Value"}, "morphofeat": {"dtype": "string", "id": null, "_type": "Value"}, "pos": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}, "opinions": {"feature": {"oid": {"dtype": "string", "id": null, "_type": "Value"}, "opinion_holder_target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "opinion_target_target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "opinion_expression_polarity": {"num_classes": 4, "names": ["StrongNegative", "Negative", "Positive", "StrongPositive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "opinion_expression_target": {"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": "multi_booked", "config_name": "eu", "version": "0.0.0", "splits": {"train": {"name": "train", "num_bytes": 1175816, "num_examples": 343, "dataset_name": "multi_booked"}}, "download_checksums": {"https://github.com/jerbarnes/multibooked/archive/master.zip": {"num_bytes": 4429415, "checksum": "c9512b7fe0e5afc690aaf0205d61bc37e68836e008db05f17643a0de57007c80"}}, "download_size": 4429415, "post_processing_size": null, "dataset_size": 1175816, "size_in_bytes": 5605231}}