Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -19,6 +19,7 @@ task_ids:
 - sentiment-classification
 pretty_name: Arabic Jordanian General Tweets
 dataset_info:
+  config_name: plain_text
   features:
   - name: text
     dtype: string
@@ -28,13 +29,18 @@ dataset_info:
         names:
           '0': Negative
           '1': Positive
-  config_name: plain_text
   splits:
   - name: train
-    num_bytes: 175424
+    num_bytes: 175420
     num_examples: 1800
-  download_size: 107395
-  dataset_size: 175424
+  download_size: 91857
+  dataset_size: 175420
+configs:
+- config_name: plain_text
+  data_files:
+  - split: train
+    path: plain_text/train-*
+  default: true
 ---
 
 # Dataset Card for Arabic Jordanian General Tweets

dataset_infos.json

@@ -1 +1,47 @@
-{"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", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["Negative", "Positive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "text", "label_column": "label", "labels": ["Negative", "Positive"]}], "builder_name": "ajgt_twitter_ar", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 175424, "num_examples": 1800, "dataset_name": "ajgt_twitter_ar"}}, "download_checksums": {"https://raw.githubusercontent.com/komari6/Arabic-twitter-corpus-AJGT/master/AJGT.xlsx": {"num_bytes": 107395, "checksum": "966c52213872b6b8a3ced5fb7c60aee2abf47ca673c7d2c2eeb064a60bc9ed51"}}, "download_size": 107395, "post_processing_size": null, "dataset_size": 175424, "size_in_bytes": 282819}}
+{
+    "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
+    }
+}

plain_text/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6f35180ab9678918a07d4faf67c4b2d6c2ae29e7b2c467a990b5ec395deee9e
+size 91857