Uploading GEC dataset with 10 tags (incl. Swap/Merge/Split)

README.md

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+---
+language:
+- ne
+license: mit
+task_categories:
+- token-classification
+tags:
+- grammatical-error-correction
+- gec
+- nepali
+- gector
+- sequence-tagging
+size_categories:
+- 1M<n<10M
+---
+
+# Nepali GEC (gector style) Token Tagging Dataset
+
+This is a processed version of the [sumitaryal/nepali_grammatical_error_correction](https://huggingface.co/datasets/sumitaryal/nepali_grammatical_error_correction) dataset,
+designed for training GEC-ToR-style sequence tagging models.
+
+This dataset has been processed with a robust, multi-pass, content-aware alignment algorithm
+to generate high-fidelity correction tags, **including complex and adjacent SWAP operations**.
+
+## Total Examples: 16,260,992
+
+* **Training:** 13,008,711
+* **Validation:** 2,439,231
+* **test:** 813,050
+
+## Key Features
+
+- **Token-Level Tags:** Word-level corrections are mapped to subword (token) labels.
+- **Correct Sentences Included:** The dataset contains both incorrect and correct sentences (tagged with `$KEEP`) for model stability.
+- **Stratified Splits:** Splits are stratified by the dominant error tag to ensure balanced evaluation.
+
+## Tag Vocabulary (10 Tags)
+
+This dataset uses an enhanced 10-tag system:
+
+1.  **`$KEEP`**: Token is correct.  -> label -> 0
+2.  **`$DELETE`**: Token should be deleted. -> label -> 1
+3.  **`$REPLACE`**: Token should be replaced (e.g., by a Transformer's MLM head). -> label -> 2
+4.  **`$APPEND`**: A new token should be inserted *after* this token. -> label -> 3
+5.  **`$SWAP_NEXT`**: Token is part of a swap (first word). -> label -> 4
+6.  **`$SWAP_PREV`**: Token is part of a swap (second word). -> label -> 5
+7.  **`$MERGE_NEXT`**: This token should be merged with the next token. -> label -> 6
+8.  **`$MERGE_PREV`**: This token should be merged with the previous token. -> label -> 7
+9.  **`$SPLIT`**: This token should be split into multiple tokens. -> label -> 8
+10. **`$UNKNOWN`**: Fallback tag (should not be present). -> label -> 9
+
+## Usage
+
+```python
+from datasets import load_dataset
+import json
+from huggingface_hub import hf_hub_download
+
+REPO_ID = "DipeshChaudhary/nepali-gector-style-token-level-tag-for-ged"
+
+# Load dataset
+dataset = load_dataset(REPO_ID)
+
+# Load vocabulary
+vocab_file = hf_hub_download(
+    repo_id=REPO_ID,
+    filename="gec_vocabulary.json",
+    repo_type="dataset"
+)
+
+with open(vocab_file, 'r', encoding='utf-8') as f:
+    vocabulary = json.load(f)
+
+print(f"Splits: {list(dataset.keys())}")
+print(f"Tags: {vocabulary['tag_to_id']}")
+```

dataset_dict.json

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+{"splits": ["train", "validation", "test"]}

gec_vocabulary.json

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+{
+  "tag_to_id": {
+    "$KEEP": 0,
+    "$DELETE": 1,
+    "$REPLACE": 2,
+    "$APPEND": 3,
+    "$SWAP_NEXT": 4,
+    "$SWAP_PREV": 5,
+    "$MERGE_NEXT": 6,
+    "$MERGE_PREV": 7,
+    "$SPLIT": 8,
+    "$UNKNOWN": 9
+  },
+  "id_to_tag": {
+    "0": "$KEEP",
+    "1": "$DELETE",
+    "2": "$REPLACE",
+    "3": "$APPEND",
+    "4": "$SWAP_NEXT",
+    "5": "$SWAP_PREV",
+    "6": "$MERGE_NEXT",
+    "7": "$MERGE_PREV",
+    "8": "$SPLIT",
+    "9": "$UNKNOWN"
+  }
+}

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