Datasets:
File size: 1,345 Bytes
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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])
```
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