--- 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_20260611_163016_468653_model_dh-unibe_trocr-towerbooks dtype: string splits: - name: train num_examples: 729 num_bytes: 58311153 download_size: 58311153 dataset_size: 58311153 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 towerbooks-line-test-test-with-inference This dataset is derived from [dh-unibe/towerbooks-line-test-test-with-inference](https://huggingface.co/datasets/dh-unibe/towerbooks-line-test-test-with-inference) and has been enriched with inference results. ## Dataset Summary This dataset contains 729 samples across 1 split(s). ### Projects Included B_IX_490_duplicated ## Evaluation Results This repository includes evaluation artifacts for the latest inference output. - **Timestamp**: 2026-06-11T16:36:48 - **CER**: 0.16961176318844318 - **Evaluated rows**: 237 - **Evaluated split**: train - **Inference column**: `inference_20260611_163016_468653_model_dh-unibe_trocr-towerbooks` ### Evaluation Files ```text evaluation/2026-06-11T16_36_48/ ├── gt.txt ├── hypothesis.txt └── evaluation_report.json ``` ## Dataset Structure ### Data Splits - **train**: 729 samples ### Dataset Size - Approximate total size: 55.61 MB - Total samples: 729 ### 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_20260611_163016_468653_model_dh-unibe_trocr-towerbooks**: `Value('string')` ## Data Organization Data is organized as parquet shards by split and project: ``` data/ ├── / │ └── / │ └── -.parquet ``` The HuggingFace Hub automatically merges all parquet files when loading the dataset. ## Usage ```python from datasets import load_dataset # Load entire dataset dataset = load_dataset("dh-unibe/towerbooks-line-test-test-with-inference") # Load specific split dataset_split = load_dataset("dh-unibe/towerbooks-line-test-test-with-inference", split="train") ```