Upload dataset

README.md

@@ -1,4 +1,10 @@
 ---
+language:
+- en
+size_categories:
+- 100M<n<1B
+task_categories:
+- text-classification
 dataset_info:
   features:
   - name: premise
@@ -14,49 +20,43 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 470925549
-    num_examples: 2106339
-  - name: test_anli_train_r1
-    num_bytes: 6903286
-    num_examples: 16946
-  - name: test_anli_train_r2
-    num_bytes: 18247198
-    num_examples: 45460
-  - name: test_anli_train_r3
-    num_bytes: 38803242
-    num_examples: 100459
-  - name: test_climate_fever
-    num_bytes: 2396137
-    num_examples: 7675
+    num_bytes: 375369073.6787229
+    num_examples: 1709316
   - name: dev
-    num_bytes: 47121.524698369816
-    num_examples: 120
-  download_size: 207805194
-  dataset_size: 537322533.5246984
+    num_bytes: 5041282.50235704
+    num_examples: 14450
+  - name: test_anli_r1
+    num_bytes: 405400
+    num_examples: 1000
+  - name: test_anli_r2
+    num_bytes: 405263
+    num_examples: 1000
+  - name: test_anli_r3
+    num_bytes: 468098
+    num_examples: 1200
+  - name: test_vitaminc
+    num_bytes: 1291371.9832599598
+    num_examples: 5520
+  download_size: 200873920
+  dataset_size: 382980489.16433996
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
-  - split: test_anli_train_r1
-    path: data/test_anli_train_r1-*
-  - split: test_anli_train_r2
-    path: data/test_anli_train_r2-*
-  - split: test_anli_train_r3
-    path: data/test_anli_train_r3-*
-  - split: test_climate_fever
-    path: data/test_climate_fever-*
   - split: dev
     path: data/dev-*
-task_categories:
-- text-classification
-language:
-- en
+  - split: test_anli_r1
+    path: data/test_anli_r1-*
+  - split: test_anli_r2
+    path: data/test_anli_r2-*
+  - split: test_anli_r3
+    path: data/test_anli_r3-*
+  - split: test_vitaminc
+    path: data/test_vitaminc-*
 tags:
 - natural-language-inference
 - fact-checking
-size_categories:
-- 100M<n<1B
 ---
 
 This monolingual (English) NLI dataset is designed for performing Natural Language Inference, and is particularly Fact-Checking oriented.

data/dev-00000-of-00001.parquet

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+size 2832628

data/test_anli_r1-00000-of-00001.parquet

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data/test_anli_r2-00000-of-00001.parquet

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data/test_anli_r3-00000-of-00001.parquet

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+size 301948

data/test_vitaminc-00000-of-00001.parquet

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data/train-00000-of-00001.parquet

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