Hugging Face's logo

Datasets:
pyspy
/
atlas-150-micro-sites-benchmark

Tasks:
Text Classification
Feature Extraction
Tabular Classification
Modalities:
Geospatial
Languages:
Polish
English
Size:
n<1K
Tags:
web-development
frontend-benchmark
ui-generation
interactive-design
code-analysis
geospatial
License:
Dataset card Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Atlas 150 (atlasodkryc.pl) β€” 150 Interactive Micro-Sites, V1/V2/V3 Evolution & Frontend Code Benchmark (CC BY 4.0)

Published by Atlas małych odkryć (atlasodkryc.pl) — a research catalog and design-engineering laboratory comparing 150 specialized micro-site concepts across three corpus editions (V1, V2, and V3), paired with an interactive geographic map of Poland, curatorial evaluation criteria, product roadmaps, and automated static code analysis.

All datasets in this repository are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to share, adapt, and redistribute this data in commercial, academic, and AI benchmarking projects provided you attribute Atlas małych odkryć with a link back to https://atlasodkryc.pl/.

πŸ“¦ Included Open Datasets

Dataset File Records Formats Description & Canonical Interactive Hub
atlas-150-projects-index.json / .csv 150 JSON, CSV Complete catalog of all 150 Micro-Site Concepts across 6 evaluation axes (S, V, A, U, E, T and composite score), target audiences, MVP specifications, visual concepts, evidentiary barriers, verified Geographic Anchors (lat, lon, geoname_id), future product directions, primary source links, and canonical URLs to all three generations (V1, V2, V3).
atlas-150-v2-code-analysis-benchmark.json / .csv 150 JSON, CSV Complete V2 Frontend Code & UI Mechanics Benchmark analyzing the 150 self-contained HTML/CSS/JS micro-applications in /mini/: byte breakdowns (html, css, js, shell, total_code), CSS rule/variable/color counts, DOM control counts (buttons, inputs, svgs, sections), browser APIs (events, dom, math, storage, canvas, audio), and 20 boolean UI feature flags (feat_range, feat_svg, feat_canvas, feat_grid, feat_reducedMotion, etc.).

πŸ”— Live Platform & Interactive Laboratories on atlasodkryc.pl

βš–οΈ Methodological & Scope Notes

  1. Corpus Boundaries (V1 vs. V2 vs. V3): The catalog compares three distinct corpus editions (V1, V2, V3). The automated static code analysis in atlas-150-v2-code-analysis-benchmark specifically measures the physical V2 (/mini/) corpus and is explicitly labeled as such.
  2. Concept Demonstrators vs. Field Guides: Individual micro-sites are design and interaction demonstrators rather than certified field guides; geographic coordinates and domain schemas should be verified against primary sources before field use.

πŸ“ How to Cite (APA & BibTeX)

APA:

Pytlarz, P. (2026). Atlas 150 (atlasodkryc.pl): 150 Interactive Micro-Site Concepts, V1/V2/V3 Corpus Editions, and Frontend Code Analysis Benchmark. Retrieved from https://atlasodkryc.pl/

BibTeX:

@misc{atlas_odkryc_150_2026,
  author = {Pytlarz, Piotr},
  title = {{Atlas 150: 150 Interactive Micro-Site Concepts, V1/V2/V3 Corpus Editions, and Frontend Code Analysis Benchmark}},
  year = {2026},
  howpublished = {\url{https://atlasodkryc.pl/}},
  note = {Licensed under CC BY 4.0}
}

πŸ”— Related Open Research Datasets & Platforms

Downloads last month
59
Total file size:
889 kB