davzoku commited on
Commit
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1 Parent(s): ca17379

Convert dataset to Parquet

Browse files
README.md CHANGED
@@ -4,7 +4,7 @@ language:
4
  paperswithcode_id: winogrande
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  pretty_name: WinoGrande
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  dataset_info:
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- - config_name: winogrande_xs
8
  features:
9
  - name: sentence
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  dtype: string
@@ -16,17 +16,17 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 20704
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- num_examples: 160
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  - name: test
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- num_bytes: 227649
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  num_examples: 1767
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  - name: validation
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- num_bytes: 164199
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  num_examples: 1267
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- download_size: 3395492
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- dataset_size: 412552
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- - config_name: winogrande_s
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  features:
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  - name: sentence
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  dtype: string
@@ -38,8 +38,8 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 82308
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- num_examples: 640
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  - name: test
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  num_bytes: 227649
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  num_examples: 1767
@@ -47,7 +47,7 @@ dataset_info:
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  num_bytes: 164199
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  num_examples: 1267
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  download_size: 3395492
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- dataset_size: 474156
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  - config_name: winogrande_m
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  features:
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  - name: sentence
@@ -70,7 +70,7 @@ dataset_info:
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  num_examples: 1267
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  download_size: 3395492
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  dataset_size: 720849
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- - config_name: winogrande_l
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  features:
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  - name: sentence
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  dtype: string
@@ -82,8 +82,8 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 1319576
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- num_examples: 10234
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  - name: test
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  num_bytes: 227649
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  num_examples: 1767
@@ -91,7 +91,7 @@ dataset_info:
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  num_bytes: 164199
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  num_examples: 1267
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  download_size: 3395492
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- dataset_size: 1711424
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  - config_name: winogrande_xl
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  features:
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  - name: sentence
@@ -114,7 +114,7 @@ dataset_info:
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  num_examples: 1267
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  download_size: 3395492
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  dataset_size: 5577680
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- - config_name: winogrande_debiased
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  features:
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  - name: sentence
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  dtype: string
@@ -126,8 +126,8 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 1203420
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- num_examples: 9248
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  - name: test
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  num_bytes: 227649
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  num_examples: 1767
@@ -135,7 +135,16 @@ dataset_info:
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  num_bytes: 164199
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  num_examples: 1267
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  download_size: 3395492
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- dataset_size: 1595268
 
 
 
 
 
 
 
 
 
139
  ---
140
 
141
  # Dataset Card for "winogrande"
 
4
  paperswithcode_id: winogrande
5
  pretty_name: WinoGrande
6
  dataset_info:
7
+ - config_name: winogrande_debiased
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  features:
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  - name: sentence
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  dtype: string
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 1203404
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+ num_examples: 9248
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  - name: test
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+ num_bytes: 227633
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  num_examples: 1767
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  - name: validation
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+ num_bytes: 164183
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  num_examples: 1267
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+ download_size: 820340
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+ dataset_size: 1595220
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+ - config_name: winogrande_l
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  features:
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  - name: sentence
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  dtype: string
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 1319576
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+ num_examples: 10234
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  - name: test
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  num_bytes: 227649
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  num_examples: 1767
 
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  num_bytes: 164199
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  num_examples: 1267
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  download_size: 3395492
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+ dataset_size: 1711424
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  - config_name: winogrande_m
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  features:
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  - name: sentence
 
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  num_examples: 1267
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  download_size: 3395492
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  dataset_size: 720849
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+ - config_name: winogrande_s
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  features:
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  - name: sentence
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  dtype: string
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 82308
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+ num_examples: 640
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  - name: test
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  num_bytes: 227649
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  num_examples: 1767
 
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  num_bytes: 164199
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  num_examples: 1267
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  download_size: 3395492
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+ dataset_size: 474156
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  - config_name: winogrande_xl
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  features:
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  - name: sentence
 
114
  num_examples: 1267
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  download_size: 3395492
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  dataset_size: 5577680
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+ - config_name: winogrande_xs
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  features:
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  - name: sentence
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  dtype: string
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 20704
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+ num_examples: 160
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  - name: test
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  num_bytes: 227649
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  num_examples: 1767
 
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  num_bytes: 164199
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  num_examples: 1267
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  download_size: 3395492
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+ dataset_size: 412552
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+ configs:
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+ - config_name: winogrande_debiased
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+ data_files:
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+ - split: train
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+ path: winogrande_debiased/train-*
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+ - split: test
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+ path: winogrande_debiased/test-*
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+ - split: validation
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+ path: winogrande_debiased/validation-*
148
  ---
149
 
150
  # Dataset Card for "winogrande"
dataset_infos.json CHANGED
@@ -1 +1,403 @@
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+ {
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+ "winogrande_xs": {
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+ "description": "WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern\n 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a\nfill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires\ncommonsense reasoning.\n",
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+ "citation": "@InProceedings{ai2:winogrande,\ntitle = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},\nauthors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi\n},\nyear={2019}\n}\n",
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+ "homepage": "https://leaderboard.allenai.org/winogrande/submissions/get-started",
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+ "num_bytes": 164199,
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+ "dataset_name": "winogrande"
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+ }
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+ "download_checksums": {
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+ "https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {
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+ "description": "WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern\n 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a\nfill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires\ncommonsense reasoning.\n",
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+ "citation": "@InProceedings{ai2:winogrande,\ntitle = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},\nauthors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi\n},\nyear={2019}\n}\n",
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+ "dataset_name": "winogrande"
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