Datasets:

Languages:
Yue Chinese
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
albertvillanova HF staff commited on
Commit
d26d292
1 Parent(s): 828708b

Delete legacy JSON metadata (#4)

Browse files

- Delete legacy JSON metadata (241a840ca628002c5d46fac0ce88489a6ea067db)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
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- {"default": {"description": "The Hong Kong Cantonese Corpus (HKCanCor) comprise transcribed conversations\nrecorded between March 1997 and August 1998. It contains recordings of\nspontaneous speech (51 texts) and radio programmes (42 texts),\nwhich involve 2 to 4 speakers, with 1 text of monologue.\n\nIn total, the corpus contains around 230,000 Chinese words.\nThe text is word-segmented, annotated with part-of-speech (POS) tags and\nromanised Cantonese pronunciation.\n\nRomanisation scheme - Linguistic Society of Hong Kong (LSHK)\nPOS scheme - Peita-Fujitsu-Renmin Ribao (PRF) corpus (Duan et al., 2000),\n with extended tags for Cantonese-specific phenomena added by\n Luke and Wang (see original paper for details).\n", "citation": "@article{luke2015hong,\n author={Luke, Kang-Kwong and Wong, May LY},\n title={The Hong Kong Cantonese corpus: design and uses},\n journal={Journal of Chinese Linguistics},\n year={2015},\n pages={309-330},\n month={12}\n}\n@misc{lee2020,\n author = {Lee, Jackson},\n title = {PyCantonese: Cantonese Linguistics and NLP in Python},\n year = {2020},\n publisher = {GitHub},\n journal = {GitHub repository},\n howpublished = {https://github.com/jacksonllee/pycantonese},\n commit = {1d58f44e1cb097faa69de6b617e1d28903b84b98}\n}\n", "homepage": "http://compling.hss.ntu.edu.sg/hkcancor/", "license": "CC BY 4.0", "features": {"conversation_id": {"dtype": "string", "id": null, "_type": "Value"}, "speaker": {"dtype": "string", "id": null, "_type": "Value"}, "turn_number": {"dtype": "int16", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "transcriptions": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags_prf": {"feature": {"num_classes": 120, "names": ["!", "\"", "#", "'", ",", "-", ".", "...", "?", "A", "AD", "AG", "AIRWAYS0", "AN", "AND", "B", "BG", "BEAN0", "C", "CENTRE0", "CG", "D", "D1", "DG", "E", "ECHO0", "F", "G", "G1", "G2", "H", "HILL0", "I", "IG", "J", "JB", "JM", "JN", "JNS", "JNT", "JNZ", "K", "KONG", "L", "L1", "LG", "M", "MG", "MONTY0", "MOUNTAIN0", "N", "N1", "NG", "NR", "NS", "NSG", "NT", "NX", "NZ", "O", "P", "PEPPER0", "Q", "QG", "R", "RG", "S", "SOUND0", "T", "TELECOM0", "TG", "TOUCH0", "U", "UG", "U0", "V", "V1", "VD", "VG", "VK", "VN", "VU", "VUG", "W", "X", "XA", "XB", "XC", "XD", "XE", "XJ", "XJB", "XJN", "XJNT", "XJNZ", "XJV", "XJA", "XL1", "XM", "XN", "XNG", "XNR", "XNS", "XNT", "XNX", "XNZ", "XO", "XP", "XQ", "XR", "XS", "XT", "XV", "XVG", "XVN", "XX", "Y", "YG", "Y1", "Z"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags_ud": {"feature": {"num_classes": 16, "names": ["DET", "PRON", "VERB", "NOUN", "ADJ", "PUNCT", "INTJ", "ADV", "V", "PART", "X", "NUM", "PROPN", "AUX", "CCONJ", "ADP"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "hkcancor", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5746381, "num_examples": 10801, "dataset_name": "hkcancor"}}, "download_checksums": {"http://compling.hss.ntu.edu.sg/hkcancor/data/hkcancor-utf8.zip": {"num_bytes": 961514, "checksum": "09223963b8756254e15353cad843f8a4b0cbc4b9223dc8a8fa27fb1cf846057e"}}, "download_size": 961514, "post_processing_size": null, "dataset_size": 5746381, "size_in_bytes": 6707895}}