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/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/parquet/parquet.py", line 127, in _split_generators
                  self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
                                                                           ~~~~~~~~~~~~~~^^^
                File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 2393, in read_schema
                  file = ParquetFile(
                      where, memory_map=memory_map,
                      decryption_properties=decryption_properties)
                File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 328, in __init__
                  self.reader.open(
                  ~~~~~~~~~~~~~~~~^
                      source, use_memory_map=memory_map,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ...<8 lines>...
                      arrow_extensions_enabled=arrow_extensions_enabled,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
              
              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 66, 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.

Polymarket PMData BTC 5m Market Data Archive

Private/internal archive of PMData Polymarket BTC 5-minute market data used for execution-quality strategy backtesting.

This dataset is organized by series and date so individual date ranges can be downloaded without cloning the full repository.

Current Coverage

Uploaded/local audited blocks:

  • Series: btc-5m
  • Local catalog range: 2026-02-14 through 2026-06-30
  • Audited scope report: 2026-02-15 through 2026-07-03
  • Data types: poly_l2, polygon_trades
  • PMData dates in local catalog: 135
  • Total ZIP files in local catalog: 270
  • Total rows in local catalog: 5,512,940,370
  • Whole-day gaps from 2026-02-15 through 2026-07-03: 2026-03-31, 2026-05-01, 2026-07-01, 2026-07-02, 2026-07-03

See:

  • catalog/coverage_summary.md
  • catalog/pmdata_inventory.csv
  • catalog/pmdata_missing_windows.csv
  • reports/pmdata_btc_5m_coverage_20260215_20260703.md
  • reports/pmdata_btc_5m_20260301_20260315_gap_fill.md
  • reports/pmdata_btc_5m_20260401_20260516_gap_fill.md
  • reports/pmdata_btc_5m_20260316_20260330.md
  • reports/pmdata_btc_5m_20260601_20260630.md

Layout

pmdata/series=btc-5m/date=YYYY-MM-DD/
  btc-5m_poly_l2_YYYY-MM-DD.zip
  btc-5m_polygon_trades_YYYY-MM-DD.zip

Documentation and metadata:

docs/
catalog/
reports/
tools/

Download A Date Range

Use tools/download_hf_pmdata_range.py from this dataset, or the same script in the source workspace:

python3 scripts/download_hf_pmdata_range.py \
  --repo-id <owner>/<dataset-name> \
  --series btc-5m \
  --start-date 2026-03-16 \
  --end-date 2026-03-20 \
  --data-type poly_l2 \
  --out-dir /tmp/pmdata_20260316_20260320

Data Quality Notes

All cataloged daily ZIP files pass ZIP integrity checks. Some source archives are short, meaning the ZIP is valid but one or more expected five-minute parquet files are absent from the upstream PMData archive.

Use reports/pmdata_btc_5m_coverage_20260215_20260703.md for the monthly coverage table and missing whole-day list. Use catalog/pmdata_missing_windows.csv to mask, exclude, or explicitly patch source-short five-minute windows.

Source Roles

PMData is the primary source for sub-second L2 execution replay and maker/taker fill simulation.

DOME remains the local audit/baseline source for reconstructed 1 Hz windows, source comparison, YES/NO validation, Chainlink/Binance joins, and fallback analysis.

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