Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -36,10 +36,15 @@ dataset_info:
           '4': Gender abusive
   splits:
   - name: train
-    num_bytes: 972635
+    num_bytes: 972631
     num_examples: 3418
-  download_size: 974312
-  dataset_size: 972635
+  download_size: 389814
+  dataset_size: 972631
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for Bengali Hate Speech Dataset

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3555f0b7794a64e7a0dbd0e11a9f73b954683d61ae603b8e9a17a64c10bdc26
+size 389814

dataset_infos.json

@@ -1 +1,44 @@
-{"default": {"description": "The Bengali Hate Speech Dataset is a collection of Bengali articles collected from Bengali news articles,\nnews dump of Bengali TV channels, books, blogs, and social media. Emphasis was placed on Facebook pages and\nnewspaper sources because they attract close to 50 million followers and is a common source of opinions\nand hate speech. The raw text corpus contains 250 million articles and the full dataset is being prepared\nfor release. This is a subset of the full dataset.\n\nThis dataset was prepared for hate-speech text classification benchmark on Bengali, an under-resourced language.\n", "citation": "@misc{karim2020classification,\n      title={Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network},\n      author={Md. Rezaul Karim and Bharathi Raja Chakravarthi and John P. McCrae and Michael Cochez},\n      year={2020},\n      eprint={2004.07807},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/rezacsedu/Bengali-Hate-Speech-Dataset", "license": "MIT License", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 5, "names": ["Personal", "Political", "Religious", "Geopolitical", "Gender abusive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "bn_hate_speech", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 972635, "num_examples": 3418, "dataset_name": "bn_hate_speech"}}, "download_checksums": {"https://raw.githubusercontent.com/rezacsedu/Bengali-Hate-Speech-Dataset/main/bengali_%20hate_v1.0.csv": {"num_bytes": 974312, "checksum": "8ad2aab71c0a9ee61119767c3b628d18e9f2556d5cf52c6c80e677fb928c5420"}}, "download_size": 974312, "post_processing_size": null, "dataset_size": 972635, "size_in_bytes": 1946947}}
+{
+    "default": {
+        "description": "The Bengali Hate Speech Dataset is a collection of Bengali articles collected from Bengali news articles,\nnews dump of Bengali TV channels, books, blogs, and social media. Emphasis was placed on Facebook pages and\nnewspaper sources because they attract close to 50 million followers and is a common source of opinions\nand hate speech. The raw text corpus contains 250 million articles and the full dataset is being prepared\nfor release. This is a subset of the full dataset.\n\nThis dataset was prepared for hate-speech text classification benchmark on Bengali, an under-resourced language.\n",
+        "citation": "@misc{karim2020classification,\n      title={Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network},\n      author={Md. Rezaul Karim and Bharathi Raja Chakravarthi and John P. McCrae and Michael Cochez},\n      year={2020},\n      eprint={2004.07807},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n",
+        "homepage": "https://github.com/rezacsedu/Bengali-Hate-Speech-Dataset",
+        "license": "MIT License",
+        "features": {
+            "text": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    "Personal",
+                    "Political",
+                    "Religious",
+                    "Geopolitical",
+                    "Gender abusive"
+                ],
+                "_type": "ClassLabel"
+            }
+        },
+        "builder_name": "bn_hate_speech",
+        "dataset_name": "bn_hate_speech",
+        "config_name": "default",
+        "version": {
+            "version_str": "0.0.0",
+            "major": 0,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 972631,
+                "num_examples": 3418,
+                "dataset_name": null
+            }
+        },
+        "download_size": 389814,
+        "dataset_size": 972631,
+        "size_in_bytes": 1362445
+    }
+}