Error code:   ConfigNamesError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 5bba4616-7a68-4737-9cf7-7fc9388a50b4)')
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 1031, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1004, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 631, in get_module
                  patterns = get_data_patterns(base_path, download_config=self.download_config)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 473, in get_data_patterns
                  return _get_data_files_patterns(resolver)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 262, in _get_data_files_patterns
                  data_files = pattern_resolver(pattern)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 360, in resolve_pattern
                  for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items()
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 520, in glob
                  path = self.resolve_path(path, revision=kwargs.get("revision")).unresolve()
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
                  return method(
                         ^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 96, in send
                  return super().send(request, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 690, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 5bba4616-7a68-4737-9cf7-7fc9388a50b4)')

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English Handwritten Physics Notes Dataset

This dataset contains high-resolution images of handwritten physics notes written in English. The collection includes theoretical explanations, formulas, diagrams, derivations, and problem-solving steps. It is designed to support AI research in handwriting recognition, scientific OCR, and document understanding for physics and STEM education.

Contact

For queries or collaborations related to this dataset, contact:

Supported Tasks

Task Categories:
- Image Classification
- Text and Equation Recognition (OCR)
- Diagram and Symbol Detection
- Document Layout Understanding
Supported Tasks:
- Recognition of handwritten English physics notes and equations
- Classification of diagrams and visual representations (e.g., force diagrams, circuits)
- OCR for formulas, units, and explanatory text
- Structural analysis of mixed-text and equation layouts
- Research in AI-powered physics education and content digitization

Languages

Primary Language: English
Secondary Presence: Mathematical and physical symbols (e.g., F=ma, ∆E, v, λ, etc.)

Dataset Creation

Curation Rationale

The dataset was curated to enable the development of AI systems capable of understanding complex handwritten physics content combining text, formulas, and diagrams. It facilitates progress in educational technology, note digitization, and automated content comprehension in science education.

Source Data

Contributors: Students, educators, and volunteers who shared handwritten class or study notes
Collection Process: Notes were scanned or photographed. All personal identifiers were removed prior to inclusion.

Other Known Limitations

Bias: Overrepresentation of student-level and academic notes
Image Quality: Variations due to lighting, ink, and paper texture
Content Scope: Focused mainly on classical and high school physics; advanced topics may be limited

Intended Uses

✅ Direct Use

Training AI models for handwriting and equation recognition in physics
Academic research in scientific OCR and content understanding
Digitization of educational physics materials
Development of AI tutoring or smart note apps for STEM learners

❌ Out-of-Scope Use

Identifying contributors based on handwriting or personal patterns
Commercial reuse of handwriting without permission
Use in surveillance or behavioral analysis contexts

License

CC BY 4.0

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