Error code:   ConfigNamesError
Exception:    TypeError
Message:      'str' object is not a mapping
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 612, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 396, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 317, in _from_yaml_dict
                  yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
                                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2138, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2134, in from_yaml_inner
                  return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
                                ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2129, in from_yaml_inner
                  return from_yaml_inner(obj["dtype"])
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2131, in from_yaml_inner
                  return {"_type": snakecase_to_camelcase(_type), **unsimplify(obj)[_type]}
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              TypeError: 'str' object is not a mapping

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latin-ocr-sample

OCR-model comparison published with ocrscout. Each row pairs one source page with one model's normalized output.

Summary

Pages: 5
Models: 4
Rows: 20
Pages with errors: 0
Mean disagreement: 0.612
Median disagreement: 0.673
Source images embedded: yes
Generated: 2026-04-28 08:00 UTC by ocrscout v0.1.0

Per-model metrics

Model	Format	Pages OK	Total tokens	Mean tokens/pg	Mean s/pg	Mean chars	Mean items
dots-mocr	layout_json	5	16789	3357.8	20.22	7048	18.6
glm-ocr	markdown	5	9796	1959.2	9.32	5869	7.8
lighton-ocr2	markdown	5	10061	2012.2	7.27	6237	10.8
paddleocr-vl	markdown	5	17316	3463.2	5.36	6148	8.2

Top-disagreement pages

Pairwise word-diff distance averaged across all models on the page. 0 = perfect agreement; 1 = no shared tokens.

Page	Models	Disagreement
gri_33125011258585_0655.jp2	4	0.751
gri_33125011258585_0115.jp2	4	0.701
gri_33125011258585_0282.jp2	4	0.673
gri_33125011258585_0760.jp2	4	0.487
gri_33125011258585_0026.jp2	4	0.449

Schema

Each row in data/train-*.parquet is one (page, model) pair.

Column	Type	Notes
`page_id`	string	Stable id from the source adapter.
`model`	string	ocrscout profile name.
`source_uri`	string	Original image path or URL (provenance).
`image`	image	Source page bytes, embedded by ocrscout publish.
`output_format`	string	`markdown`, `doctags`, `layout_json`, …
`document_json`	string	Full `DoclingDocument` JSON.
`markdown`	string	`DoclingDocument.export_to_markdown()`.
`raw_payload`	string	The model's pre-normalization output.
`tokens`	int	Generated tokens (when reported).
`error`	string	Set when the page failed for this model.
`metrics_json`	string	Per-row JSON metrics (timings, sizes, …).
`scores_json`	string	Reference-eval scores when an evaluator ran.

Use this dataset

Load with datasets:

from datasets import load_dataset
ds = load_dataset("storytracer/latin-ocr-sample", split="train")
print(ds[0]["page_id"], ds[0]["model"])

Browse with the ocrscout viewer:

pip install 'ocrscout[viewer] @ git+https://github.com/storytracer/ocrscout.git'
python -c "from huggingface_hub import snapshot_download; print(snapshot_download('storytracer/latin-ocr-sample', repo_type='dataset', local_dir='./scout-snap'))"
ocrscout viewer ./scout-snap

Pipeline configuration

The full ocrscout pipeline that produced this dataset:

name: run
source:
  name: hf_dataset
  args:
    path: /home/seb/data/ocr/latin/gri_33125011258585/gri_33125011258585_jp2
    sample: 5
    seed: 42
reference: null
models:
- dots-mocr
- glm-ocr
- paddleocr-vl
- lighton-ocr2
normalizer_overrides: {}
export:
  name: parquet
  args:
    dest: /home/seb/data/ocr/latin-sample-whole-page/data/train-00000-of-00001.parquet
evaluator: null
reporter: null
sample: 5
output_dir: /home/seb/data/ocr/latin-sample-whole-page

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Total file size:

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