Datasets:

blue-machines
/

lid_all_scripts_finetuning_subset

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

from datasets import load_dataset
ds = load_dataset("blue-machines/lid_all_scripts_finetuning_subset")
print(ds["train"][0])