Delete legacy dataset_infos.json

dataset_infos.json

@@ -1,47 +0,0 @@
-{
-    "plain_text": {
-        "description": "Arabic Jordanian General Tweets (AJGT) Corpus consisted of 1,800 tweets annotated as positive and negative. Modern Standard Arabic (MSA) or Jordanian dialect.\n",
-        "citation": "@inproceedings{alomari2017arabic,\n  title={Arabic tweets sentimental analysis using machine learning},\n  author={Alomari, Khaled Mohammad and ElSherif, Hatem M and Shaalan, Khaled},\n  booktitle={International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems},\n  pages={602--610},\n  year={2017},\n  organization={Springer}\n}\n",
-        "homepage": "https://github.com/komari6/Arabic-twitter-corpus-AJGT",
-        "license": "",
-        "features": {
-            "text": {
-                "dtype": "string",
-                "_type": "Value"
-            },
-            "label": {
-                "names": [
-                    "Negative",
-                    "Positive"
-                ],
-                "_type": "ClassLabel"
-            }
-        },
-        "task_templates": [
-            {
-                "task": "text-classification",
-                "label_column": "label"
-            }
-        ],
-        "builder_name": "parquet",
-        "dataset_name": "ajgt_twitter_ar",
-        "config_name": "plain_text",
-        "version": {
-            "version_str": "1.0.0",
-            "major": 1,
-            "minor": 0,
-            "patch": 0
-        },
-        "splits": {
-            "train": {
-                "name": "train",
-                "num_bytes": 175420,
-                "num_examples": 1800,
-                "dataset_name": null
-            }
-        },
-        "download_size": 91857,
-        "dataset_size": 175420,
-        "size_in_bytes": 267277
-    }
-}