Datasets:

danameyer
/

inference-test-dataset-workshop

dataset_info:
  config_name: default
  features:
    - name: project_name
      dtype: large_string
    - name: filename
      dtype: large_string
    - name: region_id
      dtype: large_string
    - name: line_id
      dtype: large_string
    - name: line_augmentation
      dtype: large_string
    - name: image
      dtype:
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
    - name: text
      dtype: large_string
    - name: line_reading_order
      dtype: int64
    - name: line_coords
      dtype:
        sequence:
          sequence: int64
    - name: line_baseline
      dtype:
        sequence:
          sequence: int64
    - name: region_reading_order
      dtype: int64
    - name: region_type
      dtype: large_string
    - name: region_coords
      dtype:
        sequence:
          sequence: int64
    - name: inference_20260605_220242_149959_model_dh-unibe_trocr-kurrent-XVI-XVII
      dtype: string
    - name: inference_20260608_164545_549548_model_dh-unibe_trocr-kurrent-XVI-XVII
      dtype: string
  splits:
    - name: train
      num_examples: 164
      num_bytes: 34102936
  download_size: 34102936
  dataset_size: 34102936
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train/**/*.parquet
tags:
  - image-to-text
  - htr
  - trocr
  - inference
  - pagexml
license: mit

Dataset Card for inference-test-dataset-workshop

This dataset is derived from dh-unibe/kurrent-hanse-xvi-test-lines-with-inference and has been enriched with inference results.

Dataset Summary

This dataset contains 164 samples across 1 split(s).

Projects Included

1505-02-10_Hanserezess,Lübeck_Dienstag_nach_Scholastice_1505(SAHST_Rep__2,_I_040-4)

Duplicate Line Information

Duplicate line statistics are calculated from the dataset key columns filename, region_id, and line_id, plus project_name when project metadata is available.

Only original rows are counted here.

Duplicate rows: 0
Duplicate groups: 0
Duplicate excess rows: 0

Duplicate Lines by Split

train: 0 duplicate rows, 0 duplicate groups, 0 duplicate excess rows

Dataset Structure

Data Splits

train: 164 samples

Dataset Size

Approximate total size: 32.52 MB
Total samples: 164

Features

project_name: Value('large_string')
filename: Value('large_string')
region_id: Value('large_string')
line_id: Value('large_string')
line_augmentation: Value('large_string')
image: {'bytes': Value('binary'), 'path': Value('null')}
text: Value('large_string')
line_reading_order: Value('int64')
line_coords: List(List(Value('int64')))
line_baseline: List(List(Value('int64')))
region_reading_order: Value('int64')
region_type: Value('large_string')
region_coords: List(List(Value('int64')))
inference_20260605_220242_149959_model_dh-unibe_trocr-kurrent-XVI-XVII: Value('string')
inference_20260608_164545_549548_model_dh-unibe_trocr-kurrent-XVI-XVII: Value('string')

Data Organization

Data is organized as parquet shards by split and project:

data/
├── <split>/
│   └── <project_name>/
│       └── <timestamp>-<shard>.parquet

The HuggingFace Hub automatically merges all parquet files when loading the dataset.

Usage

from datasets import load_dataset

# Load entire dataset
dataset = load_dataset("danameyer/inference-test-dataset-workshop")

# Load specific split
dataset_split = load_dataset("danameyer/inference-test-dataset-workshop", split="train")