Convert dataset to Parquet

README.md

@@ -72,17 +72,26 @@ dataset_info:
   - name: id
     dtype: string
   splits:
-  - name: test
-    num_bytes: 870809
-    num_examples: 1859
   - name: train
-    num_bytes: 3843904
+    num_bytes: 3828509
     num_examples: 8194
   - name: validation
-    num_bytes: 430296
+    num_bytes: 428551
     num_examples: 916
-  download_size: 23189911
-  dataset_size: 5145009
+  - name: test
+    num_bytes: 867294
+    num_examples: 1859
+  download_size: 3561554
+  dataset_size: 5124354
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
 ---
 
 # Dataset Card for "scicite"

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c43b73ca4544d5aabd57145ca734108e88d817c47746bc9e096090896bd60a58
+size 625439

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:515531960693e29ae248e21f2568cc6a542ed9d1d42c98e0572859d65b59144b
+size 2637978

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fac10c6583d69c3a7646950754c4b8b582ca2b45378722699675e10dab225d78
+size 298137

dataset_infos.json

@@ -1 +1,115 @@
-{"default": {"description": "\nThis is a dataset for classifying citation intents in academic papers.\nThe main citation intent label for each Json object is specified with the label\nkey while the citation context is specified in with a context key. Example:\n{\n 'string': 'In chacma baboons, male-infant relationships can be linked to both\n    formation of friendships and paternity success [30,31].'\n 'sectionName': 'Introduction',\n 'label': 'background',\n 'citingPaperId': '7a6b2d4b405439',\n 'citedPaperId': '9d1abadc55b5e0',\n ...\n }\nYou may obtain the full information about the paper using the provided paper ids\nwith the Semantic Scholar API (https://api.semanticscholar.org/).\nThe labels are:\nMethod, Background, Result\n", "citation": "\n@InProceedings{Cohan2019Structural,\n  author={Arman Cohan and Waleed Ammar and Madeleine Van Zuylen and Field Cady},\n  title={Structural Scaffolds for Citation Intent Classification in Scientific Publications},\n  booktitle=\"NAACL\",\n  year=\"2019\"\n}\n", "homepage": "https://github.com/allenai/scicite", "license": "", "features": {"string": {"dtype": "string", "id": null, "_type": "Value"}, "sectionName": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["method", "background", "result"], "names_file": null, "id": null, "_type": "ClassLabel"}, "citingPaperId": {"dtype": "string", "id": null, "_type": "Value"}, "citedPaperId": {"dtype": "string", "id": null, "_type": "Value"}, "excerpt_index": {"dtype": "int32", "id": null, "_type": "Value"}, "isKeyCitation": {"dtype": "bool", "id": null, "_type": "Value"}, "label2": {"num_classes": 4, "names": ["supportive", "not_supportive", "cant_determine", "none"], "names_file": null, "id": null, "_type": "ClassLabel"}, "citeEnd": {"dtype": "int64", "id": null, "_type": "Value"}, "citeStart": {"dtype": "int64", "id": null, "_type": "Value"}, "source": {"num_classes": 7, "names": ["properNoun", "andPhrase", "acronym", "etAlPhrase", "explicit", "acronymParen", "nan"], "names_file": null, "id": null, "_type": "ClassLabel"}, "label_confidence": {"dtype": "float32", "id": null, "_type": "Value"}, "label2_confidence": {"dtype": "float32", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "scicite", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 870809, "num_examples": 1859, "dataset_name": "scicite"}, "train": {"name": "train", "num_bytes": 3843904, "num_examples": 8194, "dataset_name": "scicite"}, "validation": {"name": "validation", "num_bytes": 430296, "num_examples": 916, "dataset_name": "scicite"}}, "download_checksums": {"https://s3-us-west-2.amazonaws.com/ai2-s2-research/scicite/scicite.tar.gz": {"num_bytes": 23189911, "checksum": "711ece2c4e61d116c8ae5bb07e9fbb2ee9ff7bba004b4cab7fbd0ac3af499193"}}, "download_size": 23189911, "dataset_size": 5145009, "size_in_bytes": 28334920}}
+{
+    "default": {
+        "description": "\nThis is a dataset for classifying citation intents in academic papers.\nThe main citation intent label for each Json object is specified with the label\nkey while the citation context is specified in with a context key. Example:\n{\n 'string': 'In chacma baboons, male-infant relationships can be linked to both\n    formation of friendships and paternity success [30,31].'\n 'sectionName': 'Introduction',\n 'label': 'background',\n 'citingPaperId': '7a6b2d4b405439',\n 'citedPaperId': '9d1abadc55b5e0',\n ...\n }\nYou may obtain the full information about the paper using the provided paper ids\nwith the Semantic Scholar API (https://api.semanticscholar.org/).\nThe labels are:\nMethod, Background, Result\n",
+        "citation": "\n@InProceedings{Cohan2019Structural,\n  author={Arman Cohan and Waleed Ammar and Madeleine Van Zuylen and Field Cady},\n  title={Structural Scaffolds for Citation Intent Classification in Scientific Publications},\n  booktitle={NAACL},\n  year={2019}\n}\n",
+        "homepage": "https://github.com/allenai/scicite",
+        "license": "",
+        "features": {
+            "string": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "sectionName": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    "method",
+                    "background",
+                    "result"
+                ],
+                "_type": "ClassLabel"
+            },
+            "citingPaperId": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "citedPaperId": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "excerpt_index": {
+                "dtype": "int32",
+                "_type": "Value"
+            },
+            "isKeyCitation": {
+                "dtype": "bool",
+                "_type": "Value"
+            },
+            "label2": {
+                "names": [
+                    "supportive",
+                    "not_supportive",
+                    "cant_determine",
+                    "none"
+                ],
+                "_type": "ClassLabel"
+            },
+            "citeEnd": {
+                "dtype": "int64",
+                "_type": "Value"
+            },
+            "citeStart": {
+                "dtype": "int64",
+                "_type": "Value"
+            },
+            "source": {
+                "names": [
+                    "properNoun",
+                    "andPhrase",
+                    "acronym",
+                    "etAlPhrase",
+                    "explicit",
+                    "acronymParen",
+                    "nan"
+                ],
+                "_type": "ClassLabel"
+            },
+            "label_confidence": {
+                "dtype": "float32",
+                "_type": "Value"
+            },
+            "label2_confidence": {
+                "dtype": "float32",
+                "_type": "Value"
+            },
+            "id": {
+                "dtype": "string",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "scicite",
+        "dataset_name": "scicite",
+        "config_name": "default",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 3828509,
+                "num_examples": 8194,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 428551,
+                "num_examples": 916,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 867294,
+                "num_examples": 1859,
+                "dataset_name": null
+            }
+        },
+        "download_size": 3561554,
+        "dataset_size": 5124354,
+        "size_in_bytes": 8685908
+    }
+}