Hugging Face's logo

Datasets:
allenai
/
quartz

Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
open-domain-qa
Languages:
English
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
2
albertvillanova HF staff commited on
Commit
319e71e
•
1 Parent(s): 1da014c

Delete legacy dataset_infos.json

Browse files
Files changed (1) hide show
  1. dataset_infos.json +0 -127
dataset_infos.json DELETED
@@ -1,127 +0,0 @@
1
- {
2
- "default": {
3
- "description": "QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships. Each\nquestion is paired with one of 405 different background sentences (sometimes short paragraphs).\nThe QuaRTz dataset V1 contains 3864 questions about open domain qualitative relationships. Each question is paired with\none of 405 different background sentences (sometimes short paragraphs).\nThe dataset is split into train (2696), dev (384) and test (784). A background sentence will only appear in a single split.\n",
4
- "citation": "@InProceedings{quartz,\n author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},\n title = {\"QUARTZ: An Open-Domain Dataset of Qualitative Relationship\nQuestions\"},\n year = {\"2019\"},\n}\n",
5
- "homepage": "https://allenai.org/data/quartz",
6
- "license": "",
7
- "features": {
8
- "id": {
9
- "dtype": "string",
10
- "_type": "Value"
11
- },
12
- "question": {
13
- "dtype": "string",
14
- "_type": "Value"
15
- },
16
- "choices": {
17
- "feature": {
18
- "text": {
19
- "dtype": "string",
20
- "_type": "Value"
21
- },
22
- "label": {
23
- "dtype": "string",
24
- "_type": "Value"
25
- }
26
- },
27
- "_type": "Sequence"
28
- },
29
- "answerKey": {
30
- "dtype": "string",
31
- "_type": "Value"
32
- },
33
- "para": {
34
- "dtype": "string",
35
- "_type": "Value"
36
- },
37
- "para_id": {
38
- "dtype": "string",
39
- "_type": "Value"
40
- },
41
- "para_anno": {
42
- "effect_prop": {
43
- "dtype": "string",
44
- "_type": "Value"
45
- },
46
- "cause_dir_str": {
47
- "dtype": "string",
48
- "_type": "Value"
49
- },
50
- "effect_dir_str": {
51
- "dtype": "string",
52
- "_type": "Value"
53
- },
54
- "cause_dir_sign": {
55
- "dtype": "string",
56
- "_type": "Value"
57
- },
58
- "effect_dir_sign": {
59
- "dtype": "string",
60
- "_type": "Value"
61
- },
62
- "cause_prop": {
63
- "dtype": "string",
64
- "_type": "Value"
65
- }
66
- },
67
- "question_anno": {
68
- "more_effect_dir": {
69
- "dtype": "string",
70
- "_type": "Value"
71
- },
72
- "less_effect_dir": {
73
- "dtype": "string",
74
- "_type": "Value"
75
- },
76
- "less_cause_prop": {
77
- "dtype": "string",
78
- "_type": "Value"
79
- },
80
- "more_effect_prop": {
81
- "dtype": "string",
82
- "_type": "Value"
83
- },
84
- "less_effect_prop": {
85
- "dtype": "string",
86
- "_type": "Value"
87
- },
88
- "less_cause_dir": {
89
- "dtype": "string",
90
- "_type": "Value"
91
- }
92
- }
93
- },
94
- "builder_name": "quartz",
95
- "dataset_name": "quartz",
96
- "config_name": "default",
97
- "version": {
98
- "version_str": "0.1.0",
99
- "major": 0,
100
- "minor": 1,
101
- "patch": 0
102
- },
103
- "splits": {
104
- "train": {
105
- "name": "train",
106
- "num_bytes": 1188342,
107
- "num_examples": 2696,
108
- "dataset_name": null
109
- },
110
- "test": {
111
- "name": "test",
112
- "num_bytes": 348644,
113
- "num_examples": 784,
114
- "dataset_name": null
115
- },
116
- "validation": {
117
- "name": "validation",
118
- "num_bytes": 174491,
119
- "num_examples": 384,
120
- "dataset_name": null
121
- }
122
- },
123
- "download_size": 569255,
124
- "dataset_size": 1711477,
125
- "size_in_bytes": 2280732
126
- }
127
- }