Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -4,54 +4,6 @@ language:
 paperswithcode_id: scitail
 pretty_name: SciTail
 dataset_info:
-- config_name: snli_format
-  features:
-  - name: sentence1_binary_parse
-    dtype: string
-  - name: sentence1_parse
-    dtype: string
-  - name: sentence1
-    dtype: string
-  - name: sentence2_parse
-    dtype: string
-  - name: sentence2
-    dtype: string
-  - name: annotator_labels
-    sequence: string
-  - name: gold_label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 22495833
-    num_examples: 23596
-  - name: test
-    num_bytes: 2008631
-    num_examples: 2126
-  - name: validation
-    num_bytes: 1266529
-    num_examples: 1304
-  download_size: 14174621
-  dataset_size: 25770993
-- config_name: tsv_format
-  features:
-  - name: premise
-    dtype: string
-  - name: hypothesis
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 4618115
-    num_examples: 23097
-  - name: test
-    num_bytes: 411343
-    num_examples: 2126
-  - name: validation
-    num_bytes: 261086
-    num_examples: 1304
-  download_size: 14174621
-  dataset_size: 5290544
 - config_name: dgem_format
   features:
   - name: premise
@@ -100,6 +52,63 @@ dataset_info:
     num_examples: 1304
   download_size: 14174621
   dataset_size: 10193289
+- config_name: snli_format
+  features:
+  - name: sentence1_binary_parse
+    dtype: string
+  - name: sentence1_parse
+    dtype: string
+  - name: sentence1
+    dtype: string
+  - name: sentence2_parse
+    dtype: string
+  - name: sentence2
+    dtype: string
+  - name: annotator_labels
+    sequence: string
+  - name: gold_label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 22457379
+    num_examples: 23596
+  - name: test
+    num_bytes: 2005142
+    num_examples: 2126
+  - name: validation
+    num_bytes: 1264378
+    num_examples: 1304
+  download_size: 7476483
+  dataset_size: 25726899
+- config_name: tsv_format
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 4618115
+    num_examples: 23097
+  - name: test
+    num_bytes: 411343
+    num_examples: 2126
+  - name: validation
+    num_bytes: 261086
+    num_examples: 1304
+  download_size: 14174621
+  dataset_size: 5290544
+configs:
+- config_name: snli_format
+  data_files:
+  - split: train
+    path: snli_format/train-*
+  - split: test
+    path: snli_format/test-*
+  - split: validation
+    path: snli_format/validation-*
 ---
 
 # Dataset Card for "scitail"

dataset_infos.json

@@ -1 +1,283 @@
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The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples \nwith neutral label\n", "citation": "inproceedings{scitail,\n     Author = {Tushar Khot and Ashish Sabharwal and Peter Clark},\n     Booktitle = {AAAI},\n     Title = {{SciTail}: A Textual Entailment Dataset from Science Question Answering},\n     Year = {2018}\n}\n", "homepage": "https://allenai.org/data/scitail", "license": "", "features": {"sentence1_binary_parse": {"dtype": "string", "id": null, "_type": "Value"}, "sentence1_parse": {"dtype": "string", "id": null, "_type": "Value"}, "sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2_parse": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "annotator_labels": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "gold_label": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "scitail", "config_name": "snli_format", "version": {"version_str": "1.1.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 22495833, "num_examples": 23596, "dataset_name": "scitail"}, "test": {"name": "test", "num_bytes": 2008631, "num_examples": 2126, "dataset_name": "scitail"}, "validation": {"name": "validation", "num_bytes": 1266529, "num_examples": 1304, "dataset_name": "scitail"}}, "download_checksums": {"http://data.allenai.org.s3.amazonaws.com/downloads/SciTailV1.1.zip": {"num_bytes": 14174621, "checksum": "3fccd37350a94ca280b75998568df85fc2fc62843a3198d644fcbf858e6943d5"}}, "download_size": 14174621, "dataset_size": 25770993, "size_in_bytes": 39945614}, "tsv_format": {"description": "The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. 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+{
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+        "citation": "inproceedings{scitail,\n     Author = {Tushar Khot and Ashish Sabharwal and Peter Clark},\n     Booktitle = {AAAI},\n     Title = {{SciTail}: A Textual Entailment Dataset from Science Question Answering},\n     Year = {2018}\n}\n",
+        "homepage": "https://allenai.org/data/scitail",
+        "license": "",
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+                "dtype": "string",
+                "_type": "Value"
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+            },
+            "gold_label": {
+                "dtype": "string",
+                "_type": "Value"
+            }
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+}

snli_format/test-00000-of-00001.parquet

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