Upload dataset_infos.json

dataset_infos.json

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+{"alisaqallah--emotion-with-length": {
+    "description": "Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper.\n",
+    "citation": "@inproceedings{saravia-etal-2018-carer,\n    title = \"{CARER}: Contextualized Affect Representations for Emotion Recognition\",\n    author = \"Saravia, Elvis  and\n      Liu, Hsien-Chi Toby  and\n      Huang, Yen-Hao  and\n      Wu, Junlin  and\n      Chen, Yi-Shin\",\n    booktitle = \"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing\",\n    month = oct # \"-\" # nov,\n    year = \"2018\",\n    address = \"Brussels, Belgium\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/D18-1404\",\n    doi = \"10.18653/v1/D18-1404\",\n    pages = \"3687--3697\",\n    abstract = \"Emotions are expressed in nuanced ways, which varies by collective or individual experiences, knowledge, and beliefs. Therefore, to understand emotion, as conveyed through text, a robust mechanism capable of capturing and modeling different linguistic nuances and phenomena is needed. We propose a semi-supervised, graph-based algorithm to produce rich structural descriptors which serve as the building blocks for constructing contextualized affect representations from text. The pattern-based representations are further enriched with word embeddings and evaluated through several emotion recognition tasks. Our experimental results demonstrate that the proposed method outperforms state-of-the-art techniques on emotion recognition tasks.\",\n}\n",
+    "homepage": "https://github.com/dair-ai/emotion_dataset",
+    "license": "",
+    "features": {
+        "text": {
+            "dtype": "string",
+            "id": null,
+            "_type": "Value"
+        },
+        "label": {
+            "num_classes": 6,
+            "names": [
+                "sadness",
+                "joy",
+                "love",
+                "anger",
+                "fear",
+                "surprise"
+            ],
+            "id": null,
+            "_type": "ClassLabel"
+        },
+        "tweet_length": {
+            "dtype": "int64",
+            "id": null,
+            "_type": "Value"
+        }
+    },
+    "post_processed": null,
+    "supervised_keys": {
+        "input": "text",
+        "output": "label"
+    },
+    "task_templates": [
+        {
+            "task": "text-classification",
+            "text_column": "text",
+            "label_column": "label"
+        }
+    ],
+    "builder_name": "emotion",
+    "config_name": "default",
+    "version": {
+        "version_str": "0.0.0",
+        "description": null,
+        "major": 0,
+        "minor": 0,
+        "patch": 0
+    },
+    "splits": {
+        "train": {
+            "name": "train",
+            "num_bytes": 1869533,
+            "num_examples": 16000,
+            "dataset_name": "emotion-with-length"
+        }
+    },
+    "download_checksums": null,
+    "download_size": 1026123,
+    "post_processing_size": null,
+    "dataset_size": 1869533,
+    "size_in_bytes": 2895656
+}}