albertvillanova HF staff commited on
Commit
f302f60
1 Parent(s): b19c47c

Convert dataset to Parquet

Browse files

Convert dataset to Parquet.

README.md CHANGED
@@ -19,6 +19,7 @@ task_ids:
19
  - sentiment-classification
20
  pretty_name: Amazon Review Polarity
21
  dataset_info:
 
22
  features:
23
  - name: label
24
  dtype:
@@ -30,7 +31,6 @@ dataset_info:
30
  dtype: string
31
  - name: content
32
  dtype: string
33
- config_name: amazon_polarity
34
  splits:
35
  - name: train
36
  num_bytes: 1604364432
@@ -38,8 +38,16 @@ dataset_info:
38
  - name: test
39
  num_bytes: 178176193
40
  num_examples: 400000
41
- download_size: 688339454
42
  dataset_size: 1782540625
 
 
 
 
 
 
 
 
43
  train-eval-index:
44
  - config: amazon_polarity
45
  task: text-classification
 
19
  - sentiment-classification
20
  pretty_name: Amazon Review Polarity
21
  dataset_info:
22
+ config_name: amazon_polarity
23
  features:
24
  - name: label
25
  dtype:
 
31
  dtype: string
32
  - name: content
33
  dtype: string
 
34
  splits:
35
  - name: train
36
  num_bytes: 1604364432
 
38
  - name: test
39
  num_bytes: 178176193
40
  num_examples: 400000
41
+ download_size: 1145430497
42
  dataset_size: 1782540625
43
+ configs:
44
+ - config_name: amazon_polarity
45
+ data_files:
46
+ - split: train
47
+ path: amazon_polarity/train-*
48
+ - split: test
49
+ path: amazon_polarity/test-*
50
+ default: true
51
  train-eval-index:
52
  - config: amazon_polarity
53
  task: text-classification
amazon_polarity/test-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:65613cc6ec1ab30e19c4dcb8d8fa5612159d77bfa493704b4a9a9c167424992e
3
+ size 117422360
amazon_polarity/train-00000-of-00004.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57c367f8c74210dde3742b17d103af33820df3af39d029f2a5051a6f87810661
3
+ size 259761770
amazon_polarity/train-00001-of-00004.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14c7fee8f066fffc29eb906f80581836cca10218509a8ccf9898ff2a0c48f310
3
+ size 258363554
amazon_polarity/train-00002-of-00004.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5af7b024d3c4b759c1538b1987ece5bac47ef49ee98f6731fd2336caac283dc9
3
+ size 255471883
amazon_polarity/train-00003-of-00004.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04dcdf40f04b70dd213b910468049196c73e405decced4d292e10412bf248875
3
+ size 254410930
dataset_infos.json CHANGED
@@ -1 +1,51 @@
1
- {"amazon_polarity": {"description": "The Amazon reviews dataset consists of reviews from amazon.\nThe data span a period of 18 years, including ~35 million reviews up to March 2013.\nReviews include product and user information, ratings, and a plaintext review.\n", "citation": "@inproceedings{mcauley2013hidden,\n title={Hidden factors and hidden topics: understanding rating dimensions with review text},\n author={McAuley, Julian and Leskovec, Jure},\n booktitle={Proceedings of the 7th ACM conference on Recommender systems},\n pages={165--172},\n year={2013}\n}\n", "homepage": "https://registry.opendata.aws/", "license": "Apache License 2.0", "features": {"label": {"num_classes": 2, "names": ["negative", "positive"], "id": null, "_type": "ClassLabel"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "content": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "amazon_polarity", "config_name": "amazon_polarity", "version": {"version_str": "3.0.0", "description": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1604364432, "num_examples": 3600000, "dataset_name": "amazon_polarity"}, "test": {"name": "test", "num_bytes": 178176193, "num_examples": 400000, "dataset_name": "amazon_polarity"}}, "download_checksums": {"https://s3.amazonaws.com/fast-ai-nlp/amazon_review_polarity_csv.tgz": {"num_bytes": 688339454, "checksum": "d2a3ee7a214497a5d1b8eaed7c8d7ba2737de00ada3b0ec46243983efa100361"}}, "download_size": 688339454, "post_processing_size": null, "dataset_size": 1782540625, "size_in_bytes": 2470880079}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "amazon_polarity": {
3
+ "description": "The Amazon reviews dataset consists of reviews from amazon.\nThe data span a period of 18 years, including ~35 million reviews up to March 2013.\nReviews include product and user information, ratings, and a plaintext review.\n",
4
+ "citation": "@inproceedings{mcauley2013hidden,\n title={Hidden factors and hidden topics: understanding rating dimensions with review text},\n author={McAuley, Julian and Leskovec, Jure},\n booktitle={Proceedings of the 7th ACM conference on Recommender systems},\n pages={165--172},\n year={2013}\n}\n",
5
+ "homepage": "https://registry.opendata.aws/",
6
+ "license": "Apache License 2.0",
7
+ "features": {
8
+ "label": {
9
+ "names": [
10
+ "negative",
11
+ "positive"
12
+ ],
13
+ "_type": "ClassLabel"
14
+ },
15
+ "title": {
16
+ "dtype": "string",
17
+ "_type": "Value"
18
+ },
19
+ "content": {
20
+ "dtype": "string",
21
+ "_type": "Value"
22
+ }
23
+ },
24
+ "builder_name": "parquet",
25
+ "dataset_name": "amazon_polarity",
26
+ "config_name": "amazon_polarity",
27
+ "version": {
28
+ "version_str": "3.0.0",
29
+ "major": 3,
30
+ "minor": 0,
31
+ "patch": 0
32
+ },
33
+ "splits": {
34
+ "train": {
35
+ "name": "train",
36
+ "num_bytes": 1604364432,
37
+ "num_examples": 3600000,
38
+ "dataset_name": null
39
+ },
40
+ "test": {
41
+ "name": "test",
42
+ "num_bytes": 178176193,
43
+ "num_examples": 400000,
44
+ "dataset_name": null
45
+ }
46
+ },
47
+ "download_size": 1145430497,
48
+ "dataset_size": 1782540625,
49
+ "size_in_bytes": 2927971122
50
+ }
51
+ }