metadata
dataset_info:
features:
- name: line_id
dtype: string
- name: line_coordinates
sequence:
sequence: float64
- name: source_image
dtype: string
- name: image_size
dtype: string
- name: format
dtype: string
- name: bdrc_work_id
dtype: string
- name: image_url
dtype: string
- name: method
dtype: string
splits:
- name: transkribus_method
num_bytes: 11390458
num_examples: 33946
- name: prodigy_method
num_bytes: 19349490
num_examples: 63727
download_size: 3491003
dataset_size: 30739948
configs:
- config_name: default
data_files:
- split: transkribus_method
path: data/transkribus_method-*
- split: prodigy_method
path: data/prodigy_method-*
Tibetan OCR Line Segementation Coordinates Annotation
This dataset contains coordinated annotation data for lines. It includes features related to text lines, image details, and processing methods used for data annotation.
Features
- line_id: Text Line Information
- line_coordinates: Coordinates of the text lines
- source_image: Image filename or identifier
- image_size: Size of the images in pixel
- format: Image Format
- bdrc_work_id: Identifier for BDRC work
- image_url: URL to the image
- method: Method used for annotation
Dataset Splits
transkribus_method:
- Number of Examples: 33,946
- Total Size: 11,390,458 bytes
prodigy_method:
- Number of Examples: 63,727
- Total Size: 19,349,490 bytes
Total Dataset Size
- Download Size: 3,491,003 bytes
- Dataset Size: 30,739,948 bytes
Use this Dataset
To load the dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("openpecha/OCR-Tibetan_line_segmentation_coordinate_annotation")