Datasets:

danameyer
/

inference-test-dataset

dataset_info:
  config_name: default
  features:
    - name: image
      dtype:
        image:
          decode: false
    - name: text
      dtype: string
    - name: line_id
      dtype: string
    - name: line_reading_order
      dtype: int64
    - name: line_coords
      dtype:
        sequence:
          sequence: int64
    - name: line_baseline
      dtype:
        sequence:
          sequence: int64
    - name: line_augmentation
      dtype: string
    - name: region_id
      dtype: string
    - name: region_reading_order
      dtype: int64
    - name: region_type
      dtype: string
    - name: region_coords
      dtype:
        sequence:
          sequence: int64
    - name: filename
      dtype: string
    - name: project_name
      dtype: string
    - name: inference_20260531_140505_448797_model_microsoft_trocr-small-printed
      dtype: string
  splits:
    - name: train
      num_examples: 604
      num_bytes: 7770494
  download_size: 7770494
  dataset_size: 7770494
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

This dataset is derived from danameyer/printed-test-lines and has been enriched with inference results.

Dataset Summary

This dataset contains 604 samples across 1 split(s).

Projects Included

printed_test

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: 604 samples

Dataset Size

Approximate total size: 7.41 MB
Total samples: 604

Features

image: Image(mode=None, decode=False)
text: Value('string')
line_id: Value('string')
line_reading_order: Value('int64')
line_coords: List(List(Value('int64')))
line_baseline: List(List(Value('int64')))
line_augmentation: Value('string')
region_id: Value('string')
region_reading_order: Value('int64')
region_type: Value('string')
region_coords: List(List(Value('int64')))
filename: Value('string')
project_name: Value('string')
inference_20260531_140505_448797_model_microsoft_trocr-small-printed: 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")

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