Upload README.md with huggingface_hub

README.md

@@ -1,92 +1,92 @@
----
-language:
-  - ckb
-  - kmr
-  - diq
-  - hac
-license: cc-by-4.0
-task_categories:
-  - text-generation
-  - fill-mask
-pretty_name: Kurdish Corpus
-size_categories:
-  - 100M<n<1B
----
-
-# Kurdish AI Dataset
-
-A large-scale multi-source Kurdish language dataset for training language models.
-
-## Dataset Statistics
-
-- **Total Documents**: 1,797,686
-- **Total Tokens**: 625,716,980
-- **Shards**: 4
-- **Built**: 2026-05-02
-
-### By Language
-
-| Language | Documents |
-|----------|-----------|
-| Sorani (ckb) | 1,274,425 |
-| Kurmanji (kmr) | 478,540 |
-| Zazaki (diq) | 34,069 |
-| Hawrami (hac) | 10,652 |
-
-### By Source Type
-
-| Source Type | Documents |
-|-------------|-----------|
-| News | 1,443,750 |
-| Web | 229,705 |
-| Wikipedia | 124,231 |
-
-## Usage
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("kurdish-ai/kurdish-ai-dataset")
-
-# Access the data
-for example in dataset["train"]:
-    print(example["text"][:100])
-
-# Filter by language
-ckb_data = dataset.filter(lambda x: x["language"] == "ckb")
-
-# Filter by source type
-news_data = dataset.filter(lambda x: x["source_type"] == "news")
-
-# Filter by quality
-high_quality = dataset.filter(lambda x: x["quality_score"] >= 80)
-```
-
-## Schema
-
-| Field | Type | Description |
-|-------|------|-------------|
-| text | string | Document text |
-| source | string | Source identifier |
-| source_type | string | Category (news, wikipedia) |
-| language | string | Language code (ckb, kmr, diq, hac) |
-| quality_score | int | Quality score 0-100 |
-| word_count | int | Word count |
-| token_count | int | Estimated token count |
-| url | string | Source URL |
-
-## License
-
-CC-BY-4.0
-
-## Citation
-
-```bibtex
-@dataset{kurdish_ai_dataset_2026,
-  title={Kurdish AI Dataset},
-  author={Shahin Wahab},
-  year={2026},
-  publisher={Hugging Face},
-  url={https://huggingface.co/datasets/kurdish-ai/kurdish-ai-dataset}
-}
-```
+---
+language:
+  - ckb
+  - kmr
+  - diq
+  - hac
+license: cc-by-4.0
+task_categories:
+  - text-generation
+  - fill-mask
+pretty_name: Kurdish Corpus
+size_categories:
+  - 100M<n<1B
+---
+
+# Kurdish Corpus
+
+A large-scale multi-source Kurdish language dataset for training language models.
+
+## Dataset Statistics
+
+- **Total Documents**: 1,797,686
+- **Total Tokens**: 625,716,980
+- **Shards**: 4
+- **Built**: 2026-05-02
+
+### By Language
+
+| Language | Documents |
+|----------|-----------|
+| Sorani (ckb) | 1,274,425 |
+| Kurmanji (kmr) | 478,540 |
+| Zazaki (diq) | 34,069 |
+| Hawrami (hac) | 10,652 |
+
+### By Source Type
+
+| Source Type | Documents |
+|-------------|-----------|
+| News | 1,443,750 |
+| Web | 229,705 |
+| Wikipedia | 124,231 |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("kurdish-ai/kurdish-corpus")
+
+# Access the data
+for example in dataset["train"]:
+    print(example["text"][:100])
+
+# Filter by language
+ckb_data = dataset.filter(lambda x: x["language"] == "ckb")
+
+# Filter by source type
+news_data = dataset.filter(lambda x: x["source_type"] == "news")
+
+# Filter by quality
+high_quality = dataset.filter(lambda x: x["quality_score"] >= 80)
+```
+
+## Schema
+
+| Field | Type | Description |
+|-------|------|-------------|
+| text | string | Document text |
+| source | string | Source identifier |
+| source_type | string | Category (news, wikipedia) |
+| language | string | Language code (ckb, kmr, diq, hac) |
+| quality_score | int | Quality score 0-100 |
+| word_count | int | Word count |
+| token_count | int | Estimated token count |
+| url | string | Source URL |
+
+## License
+
+CC-BY-4.0
+
+## Citation
+
+```bibtex
+@dataset{kurdish_corpus_2026,
+  title={Kurdish Corpus},
+  author={Shahin Wahab},
+  year={2026},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/kurdish-ai/kurdish-corpus}
+}
+```