Datasets:
File size: 1,134 Bytes
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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])
```
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