Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
License:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
|
@@ -19,6 +19,667 @@ task_categories:
|
|
| 19 |
task_ids:
|
| 20 |
- multi-class-classification
|
| 21 |
paperswithcode_id: 20-newsgroups
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
---
|
| 23 |
|
| 24 |
# Dataset Card for "newsgroup"
|
|
@@ -236,4 +897,4 @@ author = {Ken Lang},
|
|
| 236 |
|
| 237 |
### Contributions
|
| 238 |
|
| 239 |
-
Thanks to [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
|
|
|
|
| 19 |
task_ids:
|
| 20 |
- multi-class-classification
|
| 21 |
paperswithcode_id: 20-newsgroups
|
| 22 |
+
dataset_info:
|
| 23 |
+
- config_name: 18828_alt.atheism
|
| 24 |
+
features:
|
| 25 |
+
- name: text
|
| 26 |
+
dtype: string
|
| 27 |
+
splits:
|
| 28 |
+
- name: train
|
| 29 |
+
num_bytes: 1669511
|
| 30 |
+
num_examples: 799
|
| 31 |
+
download_size: 14666916
|
| 32 |
+
dataset_size: 1669511
|
| 33 |
+
- config_name: 18828_comp.graphics
|
| 34 |
+
features:
|
| 35 |
+
- name: text
|
| 36 |
+
dtype: string
|
| 37 |
+
splits:
|
| 38 |
+
- name: train
|
| 39 |
+
num_bytes: 1661199
|
| 40 |
+
num_examples: 973
|
| 41 |
+
download_size: 14666916
|
| 42 |
+
dataset_size: 1661199
|
| 43 |
+
- config_name: 18828_comp.os.ms-windows.misc
|
| 44 |
+
features:
|
| 45 |
+
- name: text
|
| 46 |
+
dtype: string
|
| 47 |
+
splits:
|
| 48 |
+
- name: train
|
| 49 |
+
num_bytes: 2378739
|
| 50 |
+
num_examples: 985
|
| 51 |
+
download_size: 14666916
|
| 52 |
+
dataset_size: 2378739
|
| 53 |
+
- config_name: 18828_comp.sys.ibm.pc.hardware
|
| 54 |
+
features:
|
| 55 |
+
- name: text
|
| 56 |
+
dtype: string
|
| 57 |
+
splits:
|
| 58 |
+
- name: train
|
| 59 |
+
num_bytes: 1185187
|
| 60 |
+
num_examples: 982
|
| 61 |
+
download_size: 14666916
|
| 62 |
+
dataset_size: 1185187
|
| 63 |
+
- config_name: 18828_comp.sys.mac.hardware
|
| 64 |
+
features:
|
| 65 |
+
- name: text
|
| 66 |
+
dtype: string
|
| 67 |
+
splits:
|
| 68 |
+
- name: train
|
| 69 |
+
num_bytes: 1056264
|
| 70 |
+
num_examples: 961
|
| 71 |
+
download_size: 14666916
|
| 72 |
+
dataset_size: 1056264
|
| 73 |
+
- config_name: 18828_comp.windows.x
|
| 74 |
+
features:
|
| 75 |
+
- name: text
|
| 76 |
+
dtype: string
|
| 77 |
+
splits:
|
| 78 |
+
- name: train
|
| 79 |
+
num_bytes: 1876297
|
| 80 |
+
num_examples: 980
|
| 81 |
+
download_size: 14666916
|
| 82 |
+
dataset_size: 1876297
|
| 83 |
+
- config_name: 18828_misc.forsale
|
| 84 |
+
features:
|
| 85 |
+
- name: text
|
| 86 |
+
dtype: string
|
| 87 |
+
splits:
|
| 88 |
+
- name: train
|
| 89 |
+
num_bytes: 925124
|
| 90 |
+
num_examples: 972
|
| 91 |
+
download_size: 14666916
|
| 92 |
+
dataset_size: 925124
|
| 93 |
+
- config_name: 18828_rec.autos
|
| 94 |
+
features:
|
| 95 |
+
- name: text
|
| 96 |
+
dtype: string
|
| 97 |
+
splits:
|
| 98 |
+
- name: train
|
| 99 |
+
num_bytes: 1295307
|
| 100 |
+
num_examples: 990
|
| 101 |
+
download_size: 14666916
|
| 102 |
+
dataset_size: 1295307
|
| 103 |
+
- config_name: 18828_rec.motorcycles
|
| 104 |
+
features:
|
| 105 |
+
- name: text
|
| 106 |
+
dtype: string
|
| 107 |
+
splits:
|
| 108 |
+
- name: train
|
| 109 |
+
num_bytes: 1206491
|
| 110 |
+
num_examples: 994
|
| 111 |
+
download_size: 14666916
|
| 112 |
+
dataset_size: 1206491
|
| 113 |
+
- config_name: 18828_rec.sport.baseball
|
| 114 |
+
features:
|
| 115 |
+
- name: text
|
| 116 |
+
dtype: string
|
| 117 |
+
splits:
|
| 118 |
+
- name: train
|
| 119 |
+
num_bytes: 1369551
|
| 120 |
+
num_examples: 994
|
| 121 |
+
download_size: 14666916
|
| 122 |
+
dataset_size: 1369551
|
| 123 |
+
- config_name: 18828_rec.sport.hockey
|
| 124 |
+
features:
|
| 125 |
+
- name: text
|
| 126 |
+
dtype: string
|
| 127 |
+
splits:
|
| 128 |
+
- name: train
|
| 129 |
+
num_bytes: 1758094
|
| 130 |
+
num_examples: 999
|
| 131 |
+
download_size: 14666916
|
| 132 |
+
dataset_size: 1758094
|
| 133 |
+
- config_name: 18828_sci.crypt
|
| 134 |
+
features:
|
| 135 |
+
- name: text
|
| 136 |
+
dtype: string
|
| 137 |
+
splits:
|
| 138 |
+
- name: train
|
| 139 |
+
num_bytes: 2050727
|
| 140 |
+
num_examples: 991
|
| 141 |
+
download_size: 14666916
|
| 142 |
+
dataset_size: 2050727
|
| 143 |
+
- config_name: 18828_sci.electronics
|
| 144 |
+
features:
|
| 145 |
+
- name: text
|
| 146 |
+
dtype: string
|
| 147 |
+
splits:
|
| 148 |
+
- name: train
|
| 149 |
+
num_bytes: 1237175
|
| 150 |
+
num_examples: 981
|
| 151 |
+
download_size: 14666916
|
| 152 |
+
dataset_size: 1237175
|
| 153 |
+
- config_name: 18828_sci.med
|
| 154 |
+
features:
|
| 155 |
+
- name: text
|
| 156 |
+
dtype: string
|
| 157 |
+
splits:
|
| 158 |
+
- name: train
|
| 159 |
+
num_bytes: 1886363
|
| 160 |
+
num_examples: 990
|
| 161 |
+
download_size: 14666916
|
| 162 |
+
dataset_size: 1886363
|
| 163 |
+
- config_name: 18828_sci.space
|
| 164 |
+
features:
|
| 165 |
+
- name: text
|
| 166 |
+
dtype: string
|
| 167 |
+
splits:
|
| 168 |
+
- name: train
|
| 169 |
+
num_bytes: 1812803
|
| 170 |
+
num_examples: 987
|
| 171 |
+
download_size: 14666916
|
| 172 |
+
dataset_size: 1812803
|
| 173 |
+
- config_name: 18828_soc.religion.christian
|
| 174 |
+
features:
|
| 175 |
+
- name: text
|
| 176 |
+
dtype: string
|
| 177 |
+
splits:
|
| 178 |
+
- name: train
|
| 179 |
+
num_bytes: 2307486
|
| 180 |
+
num_examples: 997
|
| 181 |
+
download_size: 14666916
|
| 182 |
+
dataset_size: 2307486
|
| 183 |
+
- config_name: 18828_talk.politics.guns
|
| 184 |
+
features:
|
| 185 |
+
- name: text
|
| 186 |
+
dtype: string
|
| 187 |
+
splits:
|
| 188 |
+
- name: train
|
| 189 |
+
num_bytes: 1922992
|
| 190 |
+
num_examples: 910
|
| 191 |
+
download_size: 14666916
|
| 192 |
+
dataset_size: 1922992
|
| 193 |
+
- config_name: 18828_talk.politics.mideast
|
| 194 |
+
features:
|
| 195 |
+
- name: text
|
| 196 |
+
dtype: string
|
| 197 |
+
splits:
|
| 198 |
+
- name: train
|
| 199 |
+
num_bytes: 2910324
|
| 200 |
+
num_examples: 940
|
| 201 |
+
download_size: 14666916
|
| 202 |
+
dataset_size: 2910324
|
| 203 |
+
- config_name: 18828_talk.politics.misc
|
| 204 |
+
features:
|
| 205 |
+
- name: text
|
| 206 |
+
dtype: string
|
| 207 |
+
splits:
|
| 208 |
+
- name: train
|
| 209 |
+
num_bytes: 2102809
|
| 210 |
+
num_examples: 775
|
| 211 |
+
download_size: 14666916
|
| 212 |
+
dataset_size: 2102809
|
| 213 |
+
- config_name: 18828_talk.religion.misc
|
| 214 |
+
features:
|
| 215 |
+
- name: text
|
| 216 |
+
dtype: string
|
| 217 |
+
splits:
|
| 218 |
+
- name: train
|
| 219 |
+
num_bytes: 1374261
|
| 220 |
+
num_examples: 628
|
| 221 |
+
download_size: 14666916
|
| 222 |
+
dataset_size: 1374261
|
| 223 |
+
- config_name: 19997_alt.atheism
|
| 224 |
+
features:
|
| 225 |
+
- name: text
|
| 226 |
+
dtype: string
|
| 227 |
+
splits:
|
| 228 |
+
- name: train
|
| 229 |
+
num_bytes: 2562277
|
| 230 |
+
num_examples: 1000
|
| 231 |
+
download_size: 17332201
|
| 232 |
+
dataset_size: 2562277
|
| 233 |
+
- config_name: 19997_comp.graphics
|
| 234 |
+
features:
|
| 235 |
+
- name: text
|
| 236 |
+
dtype: string
|
| 237 |
+
splits:
|
| 238 |
+
- name: train
|
| 239 |
+
num_bytes: 2181673
|
| 240 |
+
num_examples: 1000
|
| 241 |
+
download_size: 17332201
|
| 242 |
+
dataset_size: 2181673
|
| 243 |
+
- config_name: 19997_comp.os.ms-windows.misc
|
| 244 |
+
features:
|
| 245 |
+
- name: text
|
| 246 |
+
dtype: string
|
| 247 |
+
splits:
|
| 248 |
+
- name: train
|
| 249 |
+
num_bytes: 2898760
|
| 250 |
+
num_examples: 1000
|
| 251 |
+
download_size: 17332201
|
| 252 |
+
dataset_size: 2898760
|
| 253 |
+
- config_name: 19997_comp.sys.ibm.pc.hardware
|
| 254 |
+
features:
|
| 255 |
+
- name: text
|
| 256 |
+
dtype: string
|
| 257 |
+
splits:
|
| 258 |
+
- name: train
|
| 259 |
+
num_bytes: 1671166
|
| 260 |
+
num_examples: 1000
|
| 261 |
+
download_size: 17332201
|
| 262 |
+
dataset_size: 1671166
|
| 263 |
+
- config_name: 19997_comp.sys.mac.hardware
|
| 264 |
+
features:
|
| 265 |
+
- name: text
|
| 266 |
+
dtype: string
|
| 267 |
+
splits:
|
| 268 |
+
- name: train
|
| 269 |
+
num_bytes: 1580881
|
| 270 |
+
num_examples: 1000
|
| 271 |
+
download_size: 17332201
|
| 272 |
+
dataset_size: 1580881
|
| 273 |
+
- config_name: 19997_comp.windows.x
|
| 274 |
+
features:
|
| 275 |
+
- name: text
|
| 276 |
+
dtype: string
|
| 277 |
+
splits:
|
| 278 |
+
- name: train
|
| 279 |
+
num_bytes: 2418273
|
| 280 |
+
num_examples: 1000
|
| 281 |
+
download_size: 17332201
|
| 282 |
+
dataset_size: 2418273
|
| 283 |
+
- config_name: 19997_misc.forsale
|
| 284 |
+
features:
|
| 285 |
+
- name: text
|
| 286 |
+
dtype: string
|
| 287 |
+
splits:
|
| 288 |
+
- name: train
|
| 289 |
+
num_bytes: 1412012
|
| 290 |
+
num_examples: 1000
|
| 291 |
+
download_size: 17332201
|
| 292 |
+
dataset_size: 1412012
|
| 293 |
+
- config_name: 19997_rec.autos
|
| 294 |
+
features:
|
| 295 |
+
- name: text
|
| 296 |
+
dtype: string
|
| 297 |
+
splits:
|
| 298 |
+
- name: train
|
| 299 |
+
num_bytes: 1780502
|
| 300 |
+
num_examples: 1000
|
| 301 |
+
download_size: 17332201
|
| 302 |
+
dataset_size: 1780502
|
| 303 |
+
- config_name: 19997_rec.motorcycles
|
| 304 |
+
features:
|
| 305 |
+
- name: text
|
| 306 |
+
dtype: string
|
| 307 |
+
splits:
|
| 308 |
+
- name: train
|
| 309 |
+
num_bytes: 1677964
|
| 310 |
+
num_examples: 1000
|
| 311 |
+
download_size: 17332201
|
| 312 |
+
dataset_size: 1677964
|
| 313 |
+
- config_name: 19997_rec.sport.baseball
|
| 314 |
+
features:
|
| 315 |
+
- name: text
|
| 316 |
+
dtype: string
|
| 317 |
+
splits:
|
| 318 |
+
- name: train
|
| 319 |
+
num_bytes: 1835432
|
| 320 |
+
num_examples: 1000
|
| 321 |
+
download_size: 17332201
|
| 322 |
+
dataset_size: 1835432
|
| 323 |
+
- config_name: 19997_rec.sport.hockey
|
| 324 |
+
features:
|
| 325 |
+
- name: text
|
| 326 |
+
dtype: string
|
| 327 |
+
splits:
|
| 328 |
+
- name: train
|
| 329 |
+
num_bytes: 2207282
|
| 330 |
+
num_examples: 1000
|
| 331 |
+
download_size: 17332201
|
| 332 |
+
dataset_size: 2207282
|
| 333 |
+
- config_name: 19997_sci.crypt
|
| 334 |
+
features:
|
| 335 |
+
- name: text
|
| 336 |
+
dtype: string
|
| 337 |
+
splits:
|
| 338 |
+
- name: train
|
| 339 |
+
num_bytes: 2607835
|
| 340 |
+
num_examples: 1000
|
| 341 |
+
download_size: 17332201
|
| 342 |
+
dataset_size: 2607835
|
| 343 |
+
- config_name: 19997_sci.electronics
|
| 344 |
+
features:
|
| 345 |
+
- name: text
|
| 346 |
+
dtype: string
|
| 347 |
+
splits:
|
| 348 |
+
- name: train
|
| 349 |
+
num_bytes: 1732199
|
| 350 |
+
num_examples: 1000
|
| 351 |
+
download_size: 17332201
|
| 352 |
+
dataset_size: 1732199
|
| 353 |
+
- config_name: 19997_sci.med
|
| 354 |
+
features:
|
| 355 |
+
- name: text
|
| 356 |
+
dtype: string
|
| 357 |
+
splits:
|
| 358 |
+
- name: train
|
| 359 |
+
num_bytes: 2388789
|
| 360 |
+
num_examples: 1000
|
| 361 |
+
download_size: 17332201
|
| 362 |
+
dataset_size: 2388789
|
| 363 |
+
- config_name: 19997_sci.space
|
| 364 |
+
features:
|
| 365 |
+
- name: text
|
| 366 |
+
dtype: string
|
| 367 |
+
splits:
|
| 368 |
+
- name: train
|
| 369 |
+
num_bytes: 2351411
|
| 370 |
+
num_examples: 1000
|
| 371 |
+
download_size: 17332201
|
| 372 |
+
dataset_size: 2351411
|
| 373 |
+
- config_name: 19997_soc.religion.christian
|
| 374 |
+
features:
|
| 375 |
+
- name: text
|
| 376 |
+
dtype: string
|
| 377 |
+
splits:
|
| 378 |
+
- name: train
|
| 379 |
+
num_bytes: 2743018
|
| 380 |
+
num_examples: 997
|
| 381 |
+
download_size: 17332201
|
| 382 |
+
dataset_size: 2743018
|
| 383 |
+
- config_name: 19997_talk.politics.guns
|
| 384 |
+
features:
|
| 385 |
+
- name: text
|
| 386 |
+
dtype: string
|
| 387 |
+
splits:
|
| 388 |
+
- name: train
|
| 389 |
+
num_bytes: 2639343
|
| 390 |
+
num_examples: 1000
|
| 391 |
+
download_size: 17332201
|
| 392 |
+
dataset_size: 2639343
|
| 393 |
+
- config_name: 19997_talk.politics.mideast
|
| 394 |
+
features:
|
| 395 |
+
- name: text
|
| 396 |
+
dtype: string
|
| 397 |
+
splits:
|
| 398 |
+
- name: train
|
| 399 |
+
num_bytes: 3695931
|
| 400 |
+
num_examples: 1000
|
| 401 |
+
download_size: 17332201
|
| 402 |
+
dataset_size: 3695931
|
| 403 |
+
- config_name: 19997_talk.politics.misc
|
| 404 |
+
features:
|
| 405 |
+
- name: text
|
| 406 |
+
dtype: string
|
| 407 |
+
splits:
|
| 408 |
+
- name: train
|
| 409 |
+
num_bytes: 3169183
|
| 410 |
+
num_examples: 1000
|
| 411 |
+
download_size: 17332201
|
| 412 |
+
dataset_size: 3169183
|
| 413 |
+
- config_name: 19997_talk.religion.misc
|
| 414 |
+
features:
|
| 415 |
+
- name: text
|
| 416 |
+
dtype: string
|
| 417 |
+
splits:
|
| 418 |
+
- name: train
|
| 419 |
+
num_bytes: 2658700
|
| 420 |
+
num_examples: 1000
|
| 421 |
+
download_size: 17332201
|
| 422 |
+
dataset_size: 2658700
|
| 423 |
+
- config_name: bydate_alt.atheism
|
| 424 |
+
features:
|
| 425 |
+
- name: text
|
| 426 |
+
dtype: string
|
| 427 |
+
splits:
|
| 428 |
+
- name: test
|
| 429 |
+
num_bytes: 702920
|
| 430 |
+
num_examples: 319
|
| 431 |
+
- name: train
|
| 432 |
+
num_bytes: 1042224
|
| 433 |
+
num_examples: 480
|
| 434 |
+
download_size: 14464277
|
| 435 |
+
dataset_size: 1745144
|
| 436 |
+
- config_name: bydate_comp.graphics
|
| 437 |
+
features:
|
| 438 |
+
- name: text
|
| 439 |
+
dtype: string
|
| 440 |
+
splits:
|
| 441 |
+
- name: test
|
| 442 |
+
num_bytes: 849632
|
| 443 |
+
num_examples: 389
|
| 444 |
+
- name: train
|
| 445 |
+
num_bytes: 911665
|
| 446 |
+
num_examples: 584
|
| 447 |
+
download_size: 14464277
|
| 448 |
+
dataset_size: 1761297
|
| 449 |
+
- config_name: bydate_comp.os.ms-windows.misc
|
| 450 |
+
features:
|
| 451 |
+
- name: text
|
| 452 |
+
dtype: string
|
| 453 |
+
splits:
|
| 454 |
+
- name: test
|
| 455 |
+
num_bytes: 706676
|
| 456 |
+
num_examples: 394
|
| 457 |
+
- name: train
|
| 458 |
+
num_bytes: 1770988
|
| 459 |
+
num_examples: 591
|
| 460 |
+
download_size: 14464277
|
| 461 |
+
dataset_size: 2477664
|
| 462 |
+
- config_name: bydate_comp.sys.ibm.pc.hardware
|
| 463 |
+
features:
|
| 464 |
+
- name: text
|
| 465 |
+
dtype: string
|
| 466 |
+
splits:
|
| 467 |
+
- name: test
|
| 468 |
+
num_bytes: 485310
|
| 469 |
+
num_examples: 392
|
| 470 |
+
- name: train
|
| 471 |
+
num_bytes: 800446
|
| 472 |
+
num_examples: 590
|
| 473 |
+
download_size: 14464277
|
| 474 |
+
dataset_size: 1285756
|
| 475 |
+
- config_name: bydate_comp.sys.mac.hardware
|
| 476 |
+
features:
|
| 477 |
+
- name: text
|
| 478 |
+
dtype: string
|
| 479 |
+
splits:
|
| 480 |
+
- name: test
|
| 481 |
+
num_bytes: 468791
|
| 482 |
+
num_examples: 385
|
| 483 |
+
- name: train
|
| 484 |
+
num_bytes: 696311
|
| 485 |
+
num_examples: 578
|
| 486 |
+
download_size: 14464277
|
| 487 |
+
dataset_size: 1165102
|
| 488 |
+
- config_name: bydate_comp.windows.x
|
| 489 |
+
features:
|
| 490 |
+
- name: text
|
| 491 |
+
dtype: string
|
| 492 |
+
splits:
|
| 493 |
+
- name: test
|
| 494 |
+
num_bytes: 795366
|
| 495 |
+
num_examples: 395
|
| 496 |
+
- name: train
|
| 497 |
+
num_bytes: 1243463
|
| 498 |
+
num_examples: 593
|
| 499 |
+
download_size: 14464277
|
| 500 |
+
dataset_size: 2038829
|
| 501 |
+
- config_name: bydate_misc.forsale
|
| 502 |
+
features:
|
| 503 |
+
- name: text
|
| 504 |
+
dtype: string
|
| 505 |
+
splits:
|
| 506 |
+
- name: test
|
| 507 |
+
num_bytes: 415902
|
| 508 |
+
num_examples: 390
|
| 509 |
+
- name: train
|
| 510 |
+
num_bytes: 611210
|
| 511 |
+
num_examples: 585
|
| 512 |
+
download_size: 14464277
|
| 513 |
+
dataset_size: 1027112
|
| 514 |
+
- config_name: bydate_rec.autos
|
| 515 |
+
features:
|
| 516 |
+
- name: text
|
| 517 |
+
dtype: string
|
| 518 |
+
splits:
|
| 519 |
+
- name: test
|
| 520 |
+
num_bytes: 535378
|
| 521 |
+
num_examples: 396
|
| 522 |
+
- name: train
|
| 523 |
+
num_bytes: 860646
|
| 524 |
+
num_examples: 594
|
| 525 |
+
download_size: 14464277
|
| 526 |
+
dataset_size: 1396024
|
| 527 |
+
- config_name: bydate_rec.motorcycles
|
| 528 |
+
features:
|
| 529 |
+
- name: text
|
| 530 |
+
dtype: string
|
| 531 |
+
splits:
|
| 532 |
+
- name: test
|
| 533 |
+
num_bytes: 497735
|
| 534 |
+
num_examples: 398
|
| 535 |
+
- name: train
|
| 536 |
+
num_bytes: 811151
|
| 537 |
+
num_examples: 598
|
| 538 |
+
download_size: 14464277
|
| 539 |
+
dataset_size: 1308886
|
| 540 |
+
- config_name: bydate_rec.sport.baseball
|
| 541 |
+
features:
|
| 542 |
+
- name: text
|
| 543 |
+
dtype: string
|
| 544 |
+
splits:
|
| 545 |
+
- name: test
|
| 546 |
+
num_bytes: 618609
|
| 547 |
+
num_examples: 397
|
| 548 |
+
- name: train
|
| 549 |
+
num_bytes: 850740
|
| 550 |
+
num_examples: 597
|
| 551 |
+
download_size: 14464277
|
| 552 |
+
dataset_size: 1469349
|
| 553 |
+
- config_name: bydate_rec.sport.hockey
|
| 554 |
+
features:
|
| 555 |
+
- name: text
|
| 556 |
+
dtype: string
|
| 557 |
+
splits:
|
| 558 |
+
- name: test
|
| 559 |
+
num_bytes: 666358
|
| 560 |
+
num_examples: 399
|
| 561 |
+
- name: train
|
| 562 |
+
num_bytes: 1189652
|
| 563 |
+
num_examples: 600
|
| 564 |
+
download_size: 14464277
|
| 565 |
+
dataset_size: 1856010
|
| 566 |
+
- config_name: bydate_sci.crypt
|
| 567 |
+
features:
|
| 568 |
+
- name: text
|
| 569 |
+
dtype: string
|
| 570 |
+
splits:
|
| 571 |
+
- name: test
|
| 572 |
+
num_bytes: 657727
|
| 573 |
+
num_examples: 396
|
| 574 |
+
- name: train
|
| 575 |
+
num_bytes: 1502448
|
| 576 |
+
num_examples: 595
|
| 577 |
+
download_size: 14464277
|
| 578 |
+
dataset_size: 2160175
|
| 579 |
+
- config_name: bydate_sci.electronics
|
| 580 |
+
features:
|
| 581 |
+
- name: text
|
| 582 |
+
dtype: string
|
| 583 |
+
splits:
|
| 584 |
+
- name: test
|
| 585 |
+
num_bytes: 523095
|
| 586 |
+
num_examples: 393
|
| 587 |
+
- name: train
|
| 588 |
+
num_bytes: 814856
|
| 589 |
+
num_examples: 591
|
| 590 |
+
download_size: 14464277
|
| 591 |
+
dataset_size: 1337951
|
| 592 |
+
- config_name: bydate_sci.med
|
| 593 |
+
features:
|
| 594 |
+
- name: text
|
| 595 |
+
dtype: string
|
| 596 |
+
splits:
|
| 597 |
+
- name: test
|
| 598 |
+
num_bytes: 791826
|
| 599 |
+
num_examples: 396
|
| 600 |
+
- name: train
|
| 601 |
+
num_bytes: 1195201
|
| 602 |
+
num_examples: 594
|
| 603 |
+
download_size: 14464277
|
| 604 |
+
dataset_size: 1987027
|
| 605 |
+
- config_name: bydate_sci.space
|
| 606 |
+
features:
|
| 607 |
+
- name: text
|
| 608 |
+
dtype: string
|
| 609 |
+
splits:
|
| 610 |
+
- name: test
|
| 611 |
+
num_bytes: 721771
|
| 612 |
+
num_examples: 394
|
| 613 |
+
- name: train
|
| 614 |
+
num_bytes: 1197965
|
| 615 |
+
num_examples: 593
|
| 616 |
+
download_size: 14464277
|
| 617 |
+
dataset_size: 1919736
|
| 618 |
+
- config_name: bydate_soc.religion.christian
|
| 619 |
+
features:
|
| 620 |
+
- name: text
|
| 621 |
+
dtype: string
|
| 622 |
+
splits:
|
| 623 |
+
- name: test
|
| 624 |
+
num_bytes: 1003668
|
| 625 |
+
num_examples: 398
|
| 626 |
+
- name: train
|
| 627 |
+
num_bytes: 1358047
|
| 628 |
+
num_examples: 599
|
| 629 |
+
download_size: 14464277
|
| 630 |
+
dataset_size: 2361715
|
| 631 |
+
- config_name: bydate_talk.politics.guns
|
| 632 |
+
features:
|
| 633 |
+
- name: text
|
| 634 |
+
dtype: string
|
| 635 |
+
splits:
|
| 636 |
+
- name: test
|
| 637 |
+
num_bytes: 701477
|
| 638 |
+
num_examples: 364
|
| 639 |
+
- name: train
|
| 640 |
+
num_bytes: 1313019
|
| 641 |
+
num_examples: 546
|
| 642 |
+
download_size: 14464277
|
| 643 |
+
dataset_size: 2014496
|
| 644 |
+
- config_name: bydate_talk.politics.mideast
|
| 645 |
+
features:
|
| 646 |
+
- name: text
|
| 647 |
+
dtype: string
|
| 648 |
+
splits:
|
| 649 |
+
- name: test
|
| 650 |
+
num_bytes: 1236435
|
| 651 |
+
num_examples: 376
|
| 652 |
+
- name: train
|
| 653 |
+
num_bytes: 1765833
|
| 654 |
+
num_examples: 564
|
| 655 |
+
download_size: 14464277
|
| 656 |
+
dataset_size: 3002268
|
| 657 |
+
- config_name: bydate_talk.politics.misc
|
| 658 |
+
features:
|
| 659 |
+
- name: text
|
| 660 |
+
dtype: string
|
| 661 |
+
splits:
|
| 662 |
+
- name: test
|
| 663 |
+
num_bytes: 853395
|
| 664 |
+
num_examples: 310
|
| 665 |
+
- name: train
|
| 666 |
+
num_bytes: 1328057
|
| 667 |
+
num_examples: 465
|
| 668 |
+
download_size: 14464277
|
| 669 |
+
dataset_size: 2181452
|
| 670 |
+
- config_name: bydate_talk.religion.misc
|
| 671 |
+
features:
|
| 672 |
+
- name: text
|
| 673 |
+
dtype: string
|
| 674 |
+
splits:
|
| 675 |
+
- name: test
|
| 676 |
+
num_bytes: 598452
|
| 677 |
+
num_examples: 251
|
| 678 |
+
- name: train
|
| 679 |
+
num_bytes: 835761
|
| 680 |
+
num_examples: 377
|
| 681 |
+
download_size: 14464277
|
| 682 |
+
dataset_size: 1434213
|
| 683 |
---
|
| 684 |
|
| 685 |
# Dataset Card for "newsgroup"
|
|
|
|
| 897 |
|
| 898 |
### Contributions
|
| 899 |
|
| 900 |
+
Thanks to [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
|