add dataset_info in dataset metadata
Browse files
README.md
CHANGED
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@@ -27,6 +27,2123 @@ task_ids:
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| 27 |
- sentiment-scoring
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| 28 |
- topic-classification
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| 29 |
paperswithcode_id: null
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|
| 30 |
---
|
| 31 |
|
| 32 |
# Dataset Card for "amazon_us_reviews"
|
|
@@ -459,4 +2576,4 @@ No citation information.
|
|
| 459 |
|
| 460 |
### Contributions
|
| 461 |
|
| 462 |
-
Thanks to [@joeddav](https://github.com/joeddav) for adding this dataset.
|
|
|
|
| 27 |
- sentiment-scoring
|
| 28 |
- topic-classification
|
| 29 |
paperswithcode_id: null
|
| 30 |
+
dataset_info:
|
| 31 |
+
- config_name: Books_v1_01
|
| 32 |
+
features:
|
| 33 |
+
- name: marketplace
|
| 34 |
+
dtype: string
|
| 35 |
+
- name: customer_id
|
| 36 |
+
dtype: string
|
| 37 |
+
- name: review_id
|
| 38 |
+
dtype: string
|
| 39 |
+
- name: product_id
|
| 40 |
+
dtype: string
|
| 41 |
+
- name: product_parent
|
| 42 |
+
dtype: string
|
| 43 |
+
- name: product_title
|
| 44 |
+
dtype: string
|
| 45 |
+
- name: product_category
|
| 46 |
+
dtype: string
|
| 47 |
+
- name: star_rating
|
| 48 |
+
dtype: int32
|
| 49 |
+
- name: helpful_votes
|
| 50 |
+
dtype: int32
|
| 51 |
+
- name: total_votes
|
| 52 |
+
dtype: int32
|
| 53 |
+
- name: vine
|
| 54 |
+
dtype:
|
| 55 |
+
class_label:
|
| 56 |
+
names:
|
| 57 |
+
0: N
|
| 58 |
+
1: Y
|
| 59 |
+
- name: verified_purchase
|
| 60 |
+
dtype:
|
| 61 |
+
class_label:
|
| 62 |
+
names:
|
| 63 |
+
0: N
|
| 64 |
+
1: Y
|
| 65 |
+
- name: review_headline
|
| 66 |
+
dtype: string
|
| 67 |
+
- name: review_body
|
| 68 |
+
dtype: string
|
| 69 |
+
- name: review_date
|
| 70 |
+
dtype: string
|
| 71 |
+
splits:
|
| 72 |
+
- name: train
|
| 73 |
+
num_bytes: 6997552259
|
| 74 |
+
num_examples: 6106719
|
| 75 |
+
download_size: 2692708591
|
| 76 |
+
dataset_size: 6997552259
|
| 77 |
+
- config_name: Watches_v1_00
|
| 78 |
+
features:
|
| 79 |
+
- name: marketplace
|
| 80 |
+
dtype: string
|
| 81 |
+
- name: customer_id
|
| 82 |
+
dtype: string
|
| 83 |
+
- name: review_id
|
| 84 |
+
dtype: string
|
| 85 |
+
- name: product_id
|
| 86 |
+
dtype: string
|
| 87 |
+
- name: product_parent
|
| 88 |
+
dtype: string
|
| 89 |
+
- name: product_title
|
| 90 |
+
dtype: string
|
| 91 |
+
- name: product_category
|
| 92 |
+
dtype: string
|
| 93 |
+
- name: star_rating
|
| 94 |
+
dtype: int32
|
| 95 |
+
- name: helpful_votes
|
| 96 |
+
dtype: int32
|
| 97 |
+
- name: total_votes
|
| 98 |
+
dtype: int32
|
| 99 |
+
- name: vine
|
| 100 |
+
dtype:
|
| 101 |
+
class_label:
|
| 102 |
+
names:
|
| 103 |
+
0: N
|
| 104 |
+
1: Y
|
| 105 |
+
- name: verified_purchase
|
| 106 |
+
dtype:
|
| 107 |
+
class_label:
|
| 108 |
+
names:
|
| 109 |
+
0: N
|
| 110 |
+
1: Y
|
| 111 |
+
- name: review_headline
|
| 112 |
+
dtype: string
|
| 113 |
+
- name: review_body
|
| 114 |
+
dtype: string
|
| 115 |
+
- name: review_date
|
| 116 |
+
dtype: string
|
| 117 |
+
splits:
|
| 118 |
+
- name: train
|
| 119 |
+
num_bytes: 458976082
|
| 120 |
+
num_examples: 960872
|
| 121 |
+
download_size: 162973819
|
| 122 |
+
dataset_size: 458976082
|
| 123 |
+
- config_name: Personal_Care_Appliances_v1_00
|
| 124 |
+
features:
|
| 125 |
+
- name: marketplace
|
| 126 |
+
dtype: string
|
| 127 |
+
- name: customer_id
|
| 128 |
+
dtype: string
|
| 129 |
+
- name: review_id
|
| 130 |
+
dtype: string
|
| 131 |
+
- name: product_id
|
| 132 |
+
dtype: string
|
| 133 |
+
- name: product_parent
|
| 134 |
+
dtype: string
|
| 135 |
+
- name: product_title
|
| 136 |
+
dtype: string
|
| 137 |
+
- name: product_category
|
| 138 |
+
dtype: string
|
| 139 |
+
- name: star_rating
|
| 140 |
+
dtype: int32
|
| 141 |
+
- name: helpful_votes
|
| 142 |
+
dtype: int32
|
| 143 |
+
- name: total_votes
|
| 144 |
+
dtype: int32
|
| 145 |
+
- name: vine
|
| 146 |
+
dtype:
|
| 147 |
+
class_label:
|
| 148 |
+
names:
|
| 149 |
+
0: N
|
| 150 |
+
1: Y
|
| 151 |
+
- name: verified_purchase
|
| 152 |
+
dtype:
|
| 153 |
+
class_label:
|
| 154 |
+
names:
|
| 155 |
+
0: N
|
| 156 |
+
1: Y
|
| 157 |
+
- name: review_headline
|
| 158 |
+
dtype: string
|
| 159 |
+
- name: review_body
|
| 160 |
+
dtype: string
|
| 161 |
+
- name: review_date
|
| 162 |
+
dtype: string
|
| 163 |
+
splits:
|
| 164 |
+
- name: train
|
| 165 |
+
num_bytes: 49036547
|
| 166 |
+
num_examples: 85981
|
| 167 |
+
download_size: 17634794
|
| 168 |
+
dataset_size: 49036547
|
| 169 |
+
- config_name: Mobile_Electronics_v1_00
|
| 170 |
+
features:
|
| 171 |
+
- name: marketplace
|
| 172 |
+
dtype: string
|
| 173 |
+
- name: customer_id
|
| 174 |
+
dtype: string
|
| 175 |
+
- name: review_id
|
| 176 |
+
dtype: string
|
| 177 |
+
- name: product_id
|
| 178 |
+
dtype: string
|
| 179 |
+
- name: product_parent
|
| 180 |
+
dtype: string
|
| 181 |
+
- name: product_title
|
| 182 |
+
dtype: string
|
| 183 |
+
- name: product_category
|
| 184 |
+
dtype: string
|
| 185 |
+
- name: star_rating
|
| 186 |
+
dtype: int32
|
| 187 |
+
- name: helpful_votes
|
| 188 |
+
dtype: int32
|
| 189 |
+
- name: total_votes
|
| 190 |
+
dtype: int32
|
| 191 |
+
- name: vine
|
| 192 |
+
dtype:
|
| 193 |
+
class_label:
|
| 194 |
+
names:
|
| 195 |
+
0: N
|
| 196 |
+
1: Y
|
| 197 |
+
- name: verified_purchase
|
| 198 |
+
dtype:
|
| 199 |
+
class_label:
|
| 200 |
+
names:
|
| 201 |
+
0: N
|
| 202 |
+
1: Y
|
| 203 |
+
- name: review_headline
|
| 204 |
+
dtype: string
|
| 205 |
+
- name: review_body
|
| 206 |
+
dtype: string
|
| 207 |
+
- name: review_date
|
| 208 |
+
dtype: string
|
| 209 |
+
splits:
|
| 210 |
+
- name: train
|
| 211 |
+
num_bytes: 63293377
|
| 212 |
+
num_examples: 104975
|
| 213 |
+
download_size: 22870508
|
| 214 |
+
dataset_size: 63293377
|
| 215 |
+
- config_name: Digital_Video_Games_v1_00
|
| 216 |
+
features:
|
| 217 |
+
- name: marketplace
|
| 218 |
+
dtype: string
|
| 219 |
+
- name: customer_id
|
| 220 |
+
dtype: string
|
| 221 |
+
- name: review_id
|
| 222 |
+
dtype: string
|
| 223 |
+
- name: product_id
|
| 224 |
+
dtype: string
|
| 225 |
+
- name: product_parent
|
| 226 |
+
dtype: string
|
| 227 |
+
- name: product_title
|
| 228 |
+
dtype: string
|
| 229 |
+
- name: product_category
|
| 230 |
+
dtype: string
|
| 231 |
+
- name: star_rating
|
| 232 |
+
dtype: int32
|
| 233 |
+
- name: helpful_votes
|
| 234 |
+
dtype: int32
|
| 235 |
+
- name: total_votes
|
| 236 |
+
dtype: int32
|
| 237 |
+
- name: vine
|
| 238 |
+
dtype:
|
| 239 |
+
class_label:
|
| 240 |
+
names:
|
| 241 |
+
0: N
|
| 242 |
+
1: Y
|
| 243 |
+
- name: verified_purchase
|
| 244 |
+
dtype:
|
| 245 |
+
class_label:
|
| 246 |
+
names:
|
| 247 |
+
0: N
|
| 248 |
+
1: Y
|
| 249 |
+
- name: review_headline
|
| 250 |
+
dtype: string
|
| 251 |
+
- name: review_body
|
| 252 |
+
dtype: string
|
| 253 |
+
- name: review_date
|
| 254 |
+
dtype: string
|
| 255 |
+
splits:
|
| 256 |
+
- name: train
|
| 257 |
+
num_bytes: 80176851
|
| 258 |
+
num_examples: 145431
|
| 259 |
+
download_size: 27442648
|
| 260 |
+
dataset_size: 80176851
|
| 261 |
+
- config_name: Digital_Software_v1_00
|
| 262 |
+
features:
|
| 263 |
+
- name: marketplace
|
| 264 |
+
dtype: string
|
| 265 |
+
- name: customer_id
|
| 266 |
+
dtype: string
|
| 267 |
+
- name: review_id
|
| 268 |
+
dtype: string
|
| 269 |
+
- name: product_id
|
| 270 |
+
dtype: string
|
| 271 |
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- name: product_parent
|
| 272 |
+
dtype: string
|
| 273 |
+
- name: product_title
|
| 274 |
+
dtype: string
|
| 275 |
+
- name: product_category
|
| 276 |
+
dtype: string
|
| 277 |
+
- name: star_rating
|
| 278 |
+
dtype: int32
|
| 279 |
+
- name: helpful_votes
|
| 280 |
+
dtype: int32
|
| 281 |
+
- name: total_votes
|
| 282 |
+
dtype: int32
|
| 283 |
+
- name: vine
|
| 284 |
+
dtype:
|
| 285 |
+
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|
| 286 |
+
names:
|
| 287 |
+
0: N
|
| 288 |
+
1: Y
|
| 289 |
+
- name: verified_purchase
|
| 290 |
+
dtype:
|
| 291 |
+
class_label:
|
| 292 |
+
names:
|
| 293 |
+
0: N
|
| 294 |
+
1: Y
|
| 295 |
+
- name: review_headline
|
| 296 |
+
dtype: string
|
| 297 |
+
- name: review_body
|
| 298 |
+
dtype: string
|
| 299 |
+
- name: review_date
|
| 300 |
+
dtype: string
|
| 301 |
+
splits:
|
| 302 |
+
- name: train
|
| 303 |
+
num_bytes: 58782931
|
| 304 |
+
num_examples: 102084
|
| 305 |
+
download_size: 18997559
|
| 306 |
+
dataset_size: 58782931
|
| 307 |
+
- config_name: Major_Appliances_v1_00
|
| 308 |
+
features:
|
| 309 |
+
- name: marketplace
|
| 310 |
+
dtype: string
|
| 311 |
+
- name: customer_id
|
| 312 |
+
dtype: string
|
| 313 |
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- name: review_id
|
| 314 |
+
dtype: string
|
| 315 |
+
- name: product_id
|
| 316 |
+
dtype: string
|
| 317 |
+
- name: product_parent
|
| 318 |
+
dtype: string
|
| 319 |
+
- name: product_title
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|
| 2073 |
+
- name: helpful_votes
|
| 2074 |
+
dtype: int32
|
| 2075 |
+
- name: total_votes
|
| 2076 |
+
dtype: int32
|
| 2077 |
+
- name: vine
|
| 2078 |
+
dtype:
|
| 2079 |
+
class_label:
|
| 2080 |
+
names:
|
| 2081 |
+
0: N
|
| 2082 |
+
1: Y
|
| 2083 |
+
- name: verified_purchase
|
| 2084 |
+
dtype:
|
| 2085 |
+
class_label:
|
| 2086 |
+
names:
|
| 2087 |
+
0: N
|
| 2088 |
+
1: Y
|
| 2089 |
+
- name: review_headline
|
| 2090 |
+
dtype: string
|
| 2091 |
+
- name: review_body
|
| 2092 |
+
dtype: string
|
| 2093 |
+
- name: review_date
|
| 2094 |
+
dtype: string
|
| 2095 |
+
splits:
|
| 2096 |
+
- name: train
|
| 2097 |
+
num_bytes: 7197687124
|
| 2098 |
+
num_examples: 10319090
|
| 2099 |
+
download_size: 2740337188
|
| 2100 |
+
dataset_size: 7197687124
|
| 2101 |
+
- config_name: Digital_Ebook_Purchase_v1_00
|
| 2102 |
+
features:
|
| 2103 |
+
- name: marketplace
|
| 2104 |
+
dtype: string
|
| 2105 |
+
- name: customer_id
|
| 2106 |
+
dtype: string
|
| 2107 |
+
- name: review_id
|
| 2108 |
+
dtype: string
|
| 2109 |
+
- name: product_id
|
| 2110 |
+
dtype: string
|
| 2111 |
+
- name: product_parent
|
| 2112 |
+
dtype: string
|
| 2113 |
+
- name: product_title
|
| 2114 |
+
dtype: string
|
| 2115 |
+
- name: product_category
|
| 2116 |
+
dtype: string
|
| 2117 |
+
- name: star_rating
|
| 2118 |
+
dtype: int32
|
| 2119 |
+
- name: helpful_votes
|
| 2120 |
+
dtype: int32
|
| 2121 |
+
- name: total_votes
|
| 2122 |
+
dtype: int32
|
| 2123 |
+
- name: vine
|
| 2124 |
+
dtype:
|
| 2125 |
+
class_label:
|
| 2126 |
+
names:
|
| 2127 |
+
0: N
|
| 2128 |
+
1: Y
|
| 2129 |
+
- name: verified_purchase
|
| 2130 |
+
dtype:
|
| 2131 |
+
class_label:
|
| 2132 |
+
names:
|
| 2133 |
+
0: N
|
| 2134 |
+
1: Y
|
| 2135 |
+
- name: review_headline
|
| 2136 |
+
dtype: string
|
| 2137 |
+
- name: review_body
|
| 2138 |
+
dtype: string
|
| 2139 |
+
- name: review_date
|
| 2140 |
+
dtype: string
|
| 2141 |
+
splits:
|
| 2142 |
+
- name: train
|
| 2143 |
+
num_bytes: 7302303804
|
| 2144 |
+
num_examples: 12520722
|
| 2145 |
+
download_size: 2689739299
|
| 2146 |
+
dataset_size: 7302303804
|
| 2147 |
---
|
| 2148 |
|
| 2149 |
# Dataset Card for "amazon_us_reviews"
|
|
|
|
| 2576 |
|
| 2577 |
### Contributions
|
| 2578 |
|
| 2579 |
+
Thanks to [@joeddav](https://github.com/joeddav) for adding this dataset.
|