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metadata
dataset_info:
- config_name: anchors
features:
- name: anchor_id
dtype: string
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 1130705091
num_examples: 59247
- name: test
num_bytes: 20691105
num_examples: 1000
download_size: 1265739991
dataset_size: 1151396196
- config_name: matches
features:
- name: anchor_id
dtype: string
- name: weak_ids
list: string
splits:
- name: train
num_bytes: 10368246
num_examples: 59247
- name: test
num_bytes: 176740
num_examples: 1000
download_size: 7508144
dataset_size: 10544986
- config_name: weak_labels
features:
- name: weak_id
dtype: string
- name: image
dtype: image
- name: text
dtype: string
- name: anchor_id
dtype: string
splits:
- name: train
num_bytes: 21501065246
num_examples: 278282
- name: test
num_bytes: 338367480
num_examples: 4780
download_size: 21882497875
dataset_size: 21839432726
configs:
- config_name: anchors
data_files:
- split: train
path: anchors/train-*
- split: test
path: anchors/test-*
- config_name: matches
data_files:
- split: train
path: matches/train-*
- split: test
path: matches/test-*
- config_name: weak_labels
data_files:
- split: train
path: weak_labels/train-*
- split: test
path: weak_labels/test-*
default: true
license: cc-by-nc-4.0
language:
- vi
task_categories:
- image-to-text
tags:
- ocr
- handwriting-recognition
- vietnamese
- weak-label
pretty_name: VietHTR Line Weak Labels
Weak OCR line labels linked to all human-labelled anchors.
Structure
The repository has three subsets/configurations. Each has train and test
splits inherited from the source anchor dataset.
| Subset | Columns | Rows |
|---|---|---|
weak_labels |
weak_id, image, text, anchor_id |
283,062 |
anchors |
anchor_id, image, text |
60,247 |
matches |
anchor_id, weak_ids |
60,247 |
anchor_id is the source-snapshot row ID, such as train:000123. The
anchors and matches subsets contain all 60,247 source anchors.
There are 97 anchors whose weak_ids list
is empty after PII filtering.
Load
from datasets import load_dataset
weak = load_dataset("htdung167/WLabel", "weak_labels")
anchors = load_dataset("htdung167/WLabel", "anchors")
matches = load_dataset("htdung167/WLabel", "matches")