Add dgem_format data files

README.md

@@ -16,16 +16,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 6832104
+    num_bytes: 6817626
     num_examples: 23088
   - name: test
-    num_bytes: 608213
+    num_bytes: 606867
     num_examples: 2126
   - name: validation
-    num_bytes: 394040
+    num_bytes: 393209
     num_examples: 1304
-  download_size: 14174621
-  dataset_size: 7834357
+  download_size: 2007018
+  dataset_size: 7817702
 - config_name: predictor_format
   features:
   - name: answer
@@ -101,6 +101,14 @@ dataset_info:
   download_size: 1836546
   dataset_size: 5277216
 configs:
+- config_name: dgem_format
+  data_files:
+  - split: train
+    path: dgem_format/train-*
+  - split: test
+    path: dgem_format/test-*
+  - split: validation
+    path: dgem_format/validation-*
 - config_name: snli_format
   data_files:
   - split: train

dataset_infos.json

@@ -125,39 +125,34 @@
         "size_in_bytes": 7113762
     },
     "dgem_format": {
-        "description": "The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question \nand the correct answer choice are converted into an assertive statement to form the hypothesis. We use information \nretrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We \ncrowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create \nthe SciTail dataset. The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples \nwith neutral label\n",
+        "description": "The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question\nand the correct answer choice are converted into an assertive statement to form the hypothesis. We use information\nretrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We\ncrowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create\nthe SciTail dataset. 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": {
             "premise": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "hypothesis": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "hypothesis_graph_structure": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "supervised_keys": null,
         "builder_name": "scitail",
+        "dataset_name": "scitail",
         "config_name": "dgem_format",
         "version": {
             "version_str": "1.1.0",
             "description": "",
-            "datasets_version_to_prepare": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -165,32 +160,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 6832104,
+                "num_bytes": 6817626,
                 "num_examples": 23088,
-                "dataset_name": "scitail"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 608213,
+                "num_bytes": 606867,
                 "num_examples": 2126,
-                "dataset_name": "scitail"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 394040,
+                "num_bytes": 393209,
                 "num_examples": 1304,
-                "dataset_name": "scitail"
-            }
-        },
-        "download_checksums": {
-            "http://data.allenai.org.s3.amazonaws.com/downloads/SciTailV1.1.zip": {
-                "num_bytes": 14174621,
-                "checksum": "3fccd37350a94ca280b75998568df85fc2fc62843a3198d644fcbf858e6943d5"
+                "dataset_name": null
             }
         },
-        "download_size": 14174621,
-        "dataset_size": 7834357,
-        "size_in_bytes": 22008978
+        "download_size": 2007018,
+        "dataset_size": 7817702,
+        "size_in_bytes": 9824720
     },
     "predictor_format": {
         "description": "The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question \nand the correct answer choice are converted into an assertive statement to form the hypothesis. We use information \nretrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We \ncrowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create \nthe SciTail dataset. The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples \nwith neutral label\n",

dgem_format/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+size 185039

dgem_format/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0d2a8a30dbc74e45e09d6d51c5193c83285a94546db26a88d3193487ab4bcc1e
+size 1709686

dgem_format/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de818ba1a5eedea8861a974031697fac1d33df7bf9b79d70f58b173be32ef710
+size 112293