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 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.

PTDBench task_hparam_overlong_023 dataset snapshot

This repository stores the exact case-specific DAPO-Math-17k_verl snapshot used by PTDBench task qwen_dapo_hparam/task_hparam_overlong_023.

The files are published separately from other PTDBench tasks because processed dataset snapshots may differ between tasks. Consumers should pin a concrete repository commit and verify each file's SHA-256 digest.

Storage format

The original Parquet bytes are Base64-encoded as regular Hub text artifacts:

  • artifacts/train.parquet.b64.part-00000.txt through artifacts/train.parquet.b64.part-00009.txt, concatenated in lexical order;
  • artifacts/test.parquet.b64.txt.

PTDBench reconstructs the two Parquet files during the task image build and rejects them unless the resulting byte streams match the hashes below.

Files

File Rows Size (bytes) SHA-256
train.parquet 16,125 5,885,886 2897263b99e9b4af7523edeb5ec1ab9cac6e1bba63f0bfa78d4cd9356426ca5b
test.parquet 1,792 675,271 f860d1c3bfb0ce4a937b5e91bb43549a0a7ded51b1725c58c9c10f9f075d2aeb

Provenance and license

This is a processed snapshot of DAPO-Math-17k prepared for the verl training data contract. The upstream and processed dataset are distributed under the Apache License 2.0.

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