Datasets:
Commit
•
645577d
1
Parent(s):
0feebfa
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -78
dataset_infos.json
DELETED
|
@@ -1,78 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"default": {
|
| 3 |
-
"description": "This is the Business Scene Dialogue (BSD) dataset,\na Japanese-English parallel corpus containing written conversations\nin various business scenarios.\n\nThe dataset was constructed in 3 steps:\n 1) selecting business scenes,\n 2) writing monolingual conversation scenarios according to the selected scenes, and\n 3) translating the scenarios into the other language.\n\nHalf of the monolingual scenarios were written in Japanese\nand the other half were written in English.\n\nFields:\n- id: dialogue identifier\n- no: sentence pair number within a dialogue\n- en_speaker: speaker name in English\n- ja_speaker: speaker name in Japanese\n- en_sentence: sentence in English\n- ja_sentence: sentence in Japanese\n- original_language: language in which monolingual scenario was written\n- tag: scenario\n- title: scenario title\n",
|
| 4 |
-
"citation": "@inproceedings{rikters-etal-2019-designing,\n title = \"Designing the Business Conversation Corpus\",\n author = \"Rikters, Mat\u012bss and\n Ri, Ryokan and\n Li, Tong and\n Nakazawa, Toshiaki\",\n booktitle = \"Proceedings of the 6th Workshop on Asian Translation\",\n month = nov,\n year = \"2019\",\n address = \"Hong Kong, China\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/D19-5204\",\n doi = \"10.18653/v1/D19-5204\",\n pages = \"54--61\"\n}\n",
|
| 5 |
-
"homepage": "https://github.com/tsuruoka-lab/BSD",
|
| 6 |
-
"license": "CC BY-NC-SA 4.0",
|
| 7 |
-
"features": {
|
| 8 |
-
"id": {
|
| 9 |
-
"dtype": "string",
|
| 10 |
-
"_type": "Value"
|
| 11 |
-
},
|
| 12 |
-
"tag": {
|
| 13 |
-
"dtype": "string",
|
| 14 |
-
"_type": "Value"
|
| 15 |
-
},
|
| 16 |
-
"title": {
|
| 17 |
-
"dtype": "string",
|
| 18 |
-
"_type": "Value"
|
| 19 |
-
},
|
| 20 |
-
"original_language": {
|
| 21 |
-
"dtype": "string",
|
| 22 |
-
"_type": "Value"
|
| 23 |
-
},
|
| 24 |
-
"no": {
|
| 25 |
-
"dtype": "int32",
|
| 26 |
-
"_type": "Value"
|
| 27 |
-
},
|
| 28 |
-
"en_speaker": {
|
| 29 |
-
"dtype": "string",
|
| 30 |
-
"_type": "Value"
|
| 31 |
-
},
|
| 32 |
-
"ja_speaker": {
|
| 33 |
-
"dtype": "string",
|
| 34 |
-
"_type": "Value"
|
| 35 |
-
},
|
| 36 |
-
"en_sentence": {
|
| 37 |
-
"dtype": "string",
|
| 38 |
-
"_type": "Value"
|
| 39 |
-
},
|
| 40 |
-
"ja_sentence": {
|
| 41 |
-
"dtype": "string",
|
| 42 |
-
"_type": "Value"
|
| 43 |
-
}
|
| 44 |
-
},
|
| 45 |
-
"builder_name": "parquet",
|
| 46 |
-
"dataset_name": "bsd_ja_en",
|
| 47 |
-
"config_name": "default",
|
| 48 |
-
"version": {
|
| 49 |
-
"version_str": "1.0.0",
|
| 50 |
-
"major": 1,
|
| 51 |
-
"minor": 0,
|
| 52 |
-
"patch": 0
|
| 53 |
-
},
|
| 54 |
-
"splits": {
|
| 55 |
-
"train": {
|
| 56 |
-
"name": "train",
|
| 57 |
-
"num_bytes": 4778291,
|
| 58 |
-
"num_examples": 20000,
|
| 59 |
-
"dataset_name": null
|
| 60 |
-
},
|
| 61 |
-
"test": {
|
| 62 |
-
"name": "test",
|
| 63 |
-
"num_bytes": 492986,
|
| 64 |
-
"num_examples": 2120,
|
| 65 |
-
"dataset_name": null
|
| 66 |
-
},
|
| 67 |
-
"validation": {
|
| 68 |
-
"name": "validation",
|
| 69 |
-
"num_bytes": 477935,
|
| 70 |
-
"num_examples": 2051,
|
| 71 |
-
"dataset_name": null
|
| 72 |
-
}
|
| 73 |
-
},
|
| 74 |
-
"download_size": 1843443,
|
| 75 |
-
"dataset_size": 5749212,
|
| 76 |
-
"size_in_bytes": 7592655
|
| 77 |
-
}
|
| 78 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|