Datasets:

openpecha
/

OCR-Google_Books

dataset_info:
  - config_name: default
    features:
      - name: filename
        dtype: string
      - name: label
        dtype: string
      - name: url
        dtype: string
      - name: BDRC_work_id
        dtype: string
      - name: char_len
        dtype: int64
      - name: script
        dtype: string
      - name: print_method
        dtype: string
    splits:
      - name: train
        num_bytes: 210467728
        num_examples: 601152
      - name: eval
        num_bytes: 26280512
        num_examples: 75136
      - name: test
        num_bytes: 26308535
        num_examples: 75168
    download_size: 76386563
    dataset_size: 263056775
  - config_name: updated_schema
    features:
      - name: id
        dtype: string
      - name: label
        dtype: string
      - name: url
        dtype: string
    splits:
      - name: train
        num_bytes: 176527069
        num_examples: 601152
    download_size: 55583886
    dataset_size: 176527069
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: eval
        path: data/eval-*
      - split: test
        path: data/test-*
  - config_name: updated_schema
    data_files:
      - split: train
        path: updated_schema/train-*

Dataset Structure

Features: filename, label, url, BDORC_work_id, char_len, script, print_method
Splits: train, eval, test

📊 Split-wise Metadata

Split	# Samples	Total Chars (`char_len` sum)
Train	601,152	37,334,253
Eval	75,136	4,657,320
Test	75,168	4,666,128
Total	751,456	46,657,701

🏷️ Column Value Counts

print_method

Split	PrintMethod_Relief_WoodBlock	PrintMethod_Modern
Train	21,314	579,838
Eval	2,624	72,512
Test	2,565	72,603
Total	724,953	26,503

script

split	ScriptTibt	ScriptDbuCan	ScriptHani
Train	555,594	39,733	4,188
Eval	69,420	4,981	536
Test	69,343	5,093	546
Total	69,420	4,9807	5,270

🚀 Usage

from datasets import load_dataset
ds = load_dataset("openpecha/OCR-Google_Books", split="train")