| --- |
| license: other |
| task_categories: |
| - text-classification |
| language: |
| - en |
| - hi |
| - bn |
| - gu |
| - kn |
| - ml |
| - mr |
| - or |
| - ta |
| - te |
| tags: |
| - language-identification |
| - indic |
| - finetuning |
| - code-mixed |
| - romanized |
| pretty_name: LID All Scripts Finetuning Subset |
| size_categories: |
| - 10K<n<100K |
| dataset_info: |
| features: |
| - name: language |
| dtype: string |
| - name: text |
| dtype: string |
| - name: script_type |
| dtype: string |
| - name: domain |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 2224549 |
| num_examples: 29629 |
| download_size: 418604 |
| dataset_size: 2224549 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # blue-machines/lid_all_scripts_finetuning_subset |
|
|
| Finetuning subset for sentence-level language identification (`train_stage_2_dataset.csv`). |
|
|
| ## Columns |
| - `language` |
| - `text` |
| - `script_type` |
| - `domain` |
|
|
| ## Stats |
| - Rows: **29,629** |
| - Languages: Hindi, Gujarati, Bengali, Marathi, Malayalam, Telugu, Kannada, Tamil, English, Oria |
|
|
| ## Load |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("blue-machines/lid_all_scripts_finetuning_subset") |
| print(ds["train"][0]) |
| ``` |
|
|
