| --- |
| license: other |
| task_categories: |
| - token-classification |
| language: |
| - en |
| - hi |
| - bn |
| - gu |
| - kn |
| - ml |
| - mr |
| - or |
| - ta |
| - te |
| tags: |
| - language-identification |
| - token-classification |
| - indic |
| - code-mixed |
| - romanized |
| pretty_name: Tokenwise LID All Scripts Dataset |
| size_categories: |
| - 1M<n<10M |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| - name: token_types |
| dtype: string |
| - name: language |
| dtype: string |
| - name: language_switch |
| dtype: string |
| - name: tokens |
| dtype: string |
| - name: source |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 557958553 |
| num_examples: 1965547 |
| download_size: 176434491 |
| dataset_size: 557958553 |
| --- |
| |
| # blue-machines/tokenwise_lid_all_scripts_dataset |
|
|
| Word/token-level LID training corpus (`token_lid_combined_dataset.csv`). |
|
|
| Token labels are pipe-separated (`|`) in `token_types` / `tokens`: |
| - `LID_WORD` |
| - `IGNORE_ENTITY` |
|
|
| ## Columns |
| - `text` |
| - `token_types` |
| - `language` |
| - `language_switch` |
| - `tokens` |
| - `source` |
|
|
| ## Stats |
| - Rows: **1,965,547** |
| - Languages: Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oria, Tamil, Telugu |
|
|
| ## Load |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("blue-machines/tokenwise_lid_all_scripts_dataset") |
| print(ds["train"][0]) |
| ``` |
|
|