Upload folder using huggingface_hub

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+data/train.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,147 @@
+---
+license: cc-by-nc-sa-4.0
+task_categories:
+  - text-classification
+language:
+  - bn
+tags:
+  - hate-speech-classification
+  - text-classification
+pretty_name: 'BanglaMultiHate: Multi-task Bangla Hate-speech Dataset'
+size_categories:
+  - 10K<n<100K
+dataset_info:
+  - config_name: BanglaMultiHate
+    splits:
+      - name: train
+        num_examples: 35522
+      - name: dev
+        num_examples: 5024
+      - name: test
+        num_examples: 10200
+configs:
+  - config_name: BanglaMultiHate
+    data_files:
+      - split: train
+        path: data/train.json
+      - split: dev
+        path: data/dev.json
+      - split: test
+        path: data/test.json
+---
+
+
+# BanglaMultiHate: Multi-task Bangla Hate-speech Dataset
+
+The *BanglaMultiHate* dataset collected public comments from YouTube videos using the YouTube API, primarily from Somoy TV, which is a popular Bangla News channel. The comments belong to 19 different categories, including Business, Celebrities, Disaster, Entertainment, Fashion, Geopolitics, Health, History, International, Lifestyle, Literature, Miscellaneous, National, Opinion, Politics, Religion, Science, Sports, and Technology, as well as 120 subcategories.
+The annotation agreement of this manually annotated dataset shows agreement scores of $0.71$, $0.84$, and $0.79$ for the type of hate, severity of hate, and target of hate tasks, respectively, indicating substantial to perfect agreement.
+
+### Shared Task: [Bangla Hate Speech Identification](https://github.com/AridHasan/blp25_task1)
+Check our shared task on this dataset: https://github.com/AridHasan/blp25_task1
+
+## Dataset
+
+ - [training set](./data/train.json)
+ - [development set](./data/dev.json)
+ - [test set](./data/test.json)
+
+#### Data format
+Each file uses the json format. A json object within the list of objects adheres to the following structure:
+
+```
+{
+   "id": "",
+   "comment": "",
+   "category": "",
+   "subcategory": "",
+   "type_of_hate": "",
+   "severity_of_hate": "",
+   "target_of_hate": ""
+}
+```
+Where:
+* id: an index or id of the text
+* comment: text
+* category: a category
+* subcategory: a subcategory
+* hate_type: _Abusive_, _Sexism_, _Religious Hate_, _Political Hate_, _Profane_, or _None_.
+* hate_severity: _Little to None_, _Mild_, or _Severe_.
+* to_whom: _Individuals_, _Organizations_, _Communities_, or _Society_.
+
+
+##### Example
+```
+{
+   "id": "490273",
+   "comment": "আওয়ামী লীগের সন্ত্রাসী কবে দরবেন এই সাহস আপনাদের নাই",
+   "category": "National",
+   "subcategory": "বাংলার সময়",
+   "type_of_hate": "Political Hate",
+   "severity_of_hate": "Little to None",
+   "target_of_hate": "Organization"
+}
+```
+
+### How to download data
+
+```
+import os
+import json
+from datasets import load_dataset
+
+output_dir="./BanglaMultiHate/"
+ 
+dataset = load_dataset("AridHasan/BanglaMultiHate")
+# Save the dataset to the specified directory. This will save all splits to the output directory.
+dataset.save_to_disk(output_dir)
+# iterate over splits to save the data into json format
+for split in ['train','dev','test']:
+    data = []
+    if split not in dataset:
+        continue
+    for idx, item in enumerate(dataset[split]):
+        data.append(item)
+    output_file = os.path.join(output_dir, f"{split}.json")
+    with open(output_file, 'w', encoding='utf-8') as f:
+        json.dump(data, f, ensure_ascii=False, indent=4)
+```
+
+
+
+## Citation
+
+```
+@article{hasan2025llm,
+      title={LLM-Based Multi-Task Bangla Hate Speech Detection: Type, Severity, and Target}, 
+      author={Hasan, Md Arid and Alam, Firoj and Hossain, Md Fahad and Naseem, Usman and Ahmed, Syed Ishtiaque},
+      year={2025},
+      journal={arXiv preprint arXiv:2510.01995},
+      url={https://arxiv.org/abs/2510.01995},
+}
+
+@inproceedings{blp2025-overview-task1,
+    title = "Overview of BLP 2025 Task 1: Bangla Hate Speech Identification",
+    author = "Hasan, Md Arid and Alam, Firoj and Hossain, Md Fahad and Naseem, Usman and Ahmed, Syed Ishtiaque",
+    booktitle = "Proceedings of the Second International Workshop on Bangla Language Processing (BLP-2025)",
+    editor = {Alam, Firoj
+          and Kar, Sudipta
+          and Chowdhury, Shammur Absar
+          and Hassan, Naeemul
+          and Prince, Enamul Hoque
+          and Tasnim, Mohiuddin
+          and Rony, Md Rashad Al Hasan,
+          and Rahman, Md Tahmid Rahman
+    },
+    month = dec,
+    year = "2025",
+    address = "India",
+    publisher = "Association for Computational Linguistics",
+}
+```
+
+
+## License
+*BanglaMultiHate* is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work. If not, see [http://creativecommons.org/licenses/by-nc-sa/4.0/](http://creativecommons.org/licenses/by-nc-sa/4.0/).
+

data/train.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc552bade898761c4612e1a5314c3229196ee8d8fa6df1ee8139df7f04ae4450
+size 16790646