Matej Klemen
commited on
Commit
•
d0db3b6
1
Parent(s):
585afdc
Update dataset_infos.json
Browse files- dataset_infos.json +1 -1
dataset_infos.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"default": {"description": "This is an automatically created Slovene thesaurus from Slovene data available in a comprehensive \nEnglish\u2013Slovenian dictionary, a monolingual dictionary, and a corpus. A network analysis on the bilingual dictionary \nword co-occurrence graph was used, together with additional information from the distributional thesaurus data \navailable as part of the Sketch Engine tool and extracted from the 1.2 billion word Gigafida corpus and the \nmonolingual dictionary.\n", "citation": "@article{krek2017translation,\n title={From translation equivalents to synonyms: creation of a Slovene thesaurus using word co-occurrence network analysis},\n author={Krek, Simon and Laskowski, Cyprian and Robnik-{\u000b{S}}ikonja, Marko},\n journal={Proceedings of eLex},\n pages={93--109},\n year={2017}\n}\n", "homepage": "http://hdl.handle.net/11356/1166", "license": "Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"id_headword": {"dtype": "string", "id": null, "_type": "Value"}, "headword": {"dtype": "string", "id": null, "_type": "Value"}, "groups_core": [{"id_words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "scores": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}], "groups_near": [{"id_words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "scores": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "slo_thesaurus", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes":
|
|
|
|
| 1 |
+
{"default": {"description": "This is an automatically created Slovene thesaurus from Slovene data available in a comprehensive \nEnglish\u2013Slovenian dictionary, a monolingual dictionary, and a corpus. A network analysis on the bilingual dictionary \nword co-occurrence graph was used, together with additional information from the distributional thesaurus data \navailable as part of the Sketch Engine tool and extracted from the 1.2 billion word Gigafida corpus and the \nmonolingual dictionary.\n", "citation": "@article{krek2017translation,\n title={From translation equivalents to synonyms: creation of a Slovene thesaurus using word co-occurrence network analysis},\n author={Krek, Simon and Laskowski, Cyprian and Robnik-{\u000b{S}}ikonja, Marko},\n journal={Proceedings of eLex},\n pages={93--109},\n year={2017}\n}\n", "homepage": "http://hdl.handle.net/11356/1166", "license": "Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)", "features": {"id_headword": {"dtype": "string", "id": null, "_type": "Value"}, "headword": {"dtype": "string", "id": null, "_type": "Value"}, "groups_core": [{"id_words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "scores": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "domains": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}], "groups_near": [{"id_words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "scores": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "domains": {"feature": {"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, "task_templates": null, "builder_name": "slo_thesaurus", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21905940, "num_examples": 105473, "dataset_name": "slo_thesaurus"}}, "download_checksums": {"https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1166/CJVT_Thesaurus-v1.0.zip": {"num_bytes": 5680952, "checksum": "3432cef5f272ff5c33a7984fdede34d53cc5dbf1b075e45011946a7b7f244c4d"}}, "download_size": 5680952, "post_processing_size": null, "dataset_size": 21905940, "size_in_bytes": 27586892}}
|