Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -21,6 +21,9 @@ task_ids:
 - multi-label-classification
 paperswithcode_id: goemotions
 pretty_name: GoEmotions
+config_names:
+- raw
+- simplified
 tags:
 - emotion
 dataset_info:
@@ -146,19 +149,26 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 4224198
+    num_bytes: 4224138
     num_examples: 43410
   - name: validation
-    num_bytes: 527131
+    num_bytes: 527119
     num_examples: 5426
   - name: test
-    num_bytes: 524455
+    num_bytes: 524443
     num_examples: 5427
-  download_size: 4394818
-  dataset_size: 5275784
-config_names:
-- raw
-- simplified
+  download_size: 3464371
+  dataset_size: 5275700
+configs:
+- config_name: simplified
+  data_files:
+  - split: train
+    path: simplified/train-*
+  - split: validation
+    path: simplified/validation-*
+  - split: test
+    path: simplified/test-*
+  default: true
 ---
 
 # Dataset Card for GoEmotions

dataset_infos.json

@@ -1 +1,316 @@
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+{
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+        "description": "The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.\nThe emotion categories are admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire,\ndisappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness,\noptimism, pride, realization, relief, remorse, sadness, surprise.\n",
+        "citation": "@inproceedings{demszky2020goemotions,\n author = {Demszky, Dorottya and Movshovitz-Attias, Dana and Ko, Jeongwoo and Cowen, Alan and Nemade, Gaurav and Ravi, Sujith},\n booktitle = {58th Annual Meeting of the Association for Computational Linguistics (ACL)},\n title = {{GoEmotions: A Dataset of Fine-Grained Emotions}},\n year = {2020}\n}\n",
+        "homepage": "https://github.com/google-research/google-research/tree/master/goemotions",
+        "license": "",
+        "features": {
+            "text": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "id": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "author": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "subreddit": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "link_id": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "parent_id": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
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+                "dtype": "float32",
+                "id": null,
+                "_type": "Value"
+            },
+            "rater_id": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            },
+            "example_very_unclear": {
+                "dtype": "bool",
+                "id": null,
+                "_type": "Value"
+            },
+            "admiration": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            },
+            "amusement": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            },
+            "anger": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            },
+            "annoyance": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            },
+            "approval": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            },
+            "caring": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
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+                "_type": "Value"
+            },
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+                "id": null,
+                "_type": "Value"
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+                "num_examples": 211225,
+                "dataset_name": "go_emotions"
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+        "description": "The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.\nThe emotion categories are admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire,\ndisappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness,\noptimism, pride, realization, relief, remorse, sadness, surprise.\n",
+        "citation": "@inproceedings{demszky2020goemotions,\n author = {Demszky, Dorottya and Movshovitz-Attias, Dana and Ko, Jeongwoo and Cowen, Alan and Nemade, Gaurav and Ravi, Sujith},\n booktitle = {58th Annual Meeting of the Association for Computational Linguistics (ACL)},\n title = {{GoEmotions: A Dataset of Fine-Grained Emotions}},\n year = {2020}\n}\n",
+        "homepage": "https://github.com/google-research/google-research/tree/master/goemotions",
+        "license": "",
+        "features": {
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+                "dtype": "string",
+                "_type": "Value"
+            },
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+                "feature": {
+                    "names": [
+                        "admiration",
+                        "amusement",
+                        "anger",
+                        "annoyance",
+                        "approval",
+                        "caring",
+                        "confusion",
+                        "curiosity",
+                        "desire",
+                        "disappointment",
+                        "disapproval",
+                        "disgust",
+                        "embarrassment",
+                        "excitement",
+                        "fear",
+                        "gratitude",
+                        "grief",
+                        "joy",
+                        "love",
+                        "nervousness",
+                        "optimism",
+                        "pride",
+                        "realization",
+                        "relief",
+                        "remorse",
+                        "sadness",
+                        "surprise",
+                        "neutral"
+                    ],
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+                },
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+            },
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+                "dtype": "string",
+                "_type": "Value"
+            }
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+        "builder_name": "go_emotions",
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+        "size_in_bytes": 8740071
+    }
+}

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