Datasets:
metadata
license: other
task_categories:
- text-classification
language:
- en
- hi
- bn
- gu
- kn
- ml
- mr
- or
- ta
- te
tags:
- language-switch-detection
- language-identification
- indic
- finetuning
- code-mixed
- romanized
pretty_name: LSD All Scripts Finetuning Subset
size_categories:
- 100K<n<1M
dataset_info:
features:
- name: language_switch
dtype: string
- name: text
dtype: string
- name: script_type
dtype: string
- name: language
dtype: string
splits:
- name: train
num_bytes: 8689096
num_examples: 114178
download_size: 1695842
dataset_size: 8689096
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
blue-machines/lsd_all_scripts_finetuning_subset
Language-switch detection finetuning subset (lsd_data_with_language.csv).
Columns
language_switchtextscript_typelanguage
Stats
- Rows: 114,178
- Languages: Base_Language, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oria, Tamil, Telugu
- Switch labels: Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oria, Tamil, Target_Language, Telugu, no_mixed, no_switch
Load
from datasets import load_dataset
ds = load_dataset("blue-machines/lsd_all_scripts_finetuning_subset")
print(ds["train"][0])