---
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])
```