Datasets:

azithromycin
/

bjb7_so101_berm_build_test_1

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              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/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              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 71, 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.

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SO101 Berm Build Test 1 TsFile

This is an Apache TsFile conversion of bjb7/so101_berm_build_test_1 (https://huggingface.co/datasets/bjb7/so101_berm_build_test_1), a LeRobot v2.1 SO101 dataset for the task Build a berm. Numeric trajectory data are in one table-model TsFile; videos remain in the pinned original repository revision c461bd97fd11dd998f5d91be564181bd2d9f1a0f.

Source and provenance

Original author/uploader: Brian Blankenau (bjb7), https://huggingface.co/bjb7
Pinned source revision: c461bd97fd11dd998f5d91be564181bd2d9f1a0f (https://huggingface.co/datasets/bjb7/so101_berm_build_test_1/tree/c461bd97fd11dd998f5d91be564181bd2d9f1a0f)
License: Apache-2.0; no paper or completed citation is supplied by the source card.
Robot: so101; LeRobot codebase: v2.1; split: train; sampling rate: 30 fps.
50 episodes, 60,740 frame rows, one task (task_index=0: Build a berm.), 50 source Parquet shards, and 100 source MP4 files.
Source frame path: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

Converted files

TsFile: data/so101_berm_build_test_1.tsfile
Table: so101_berm_build_test_1
Rows: 60,740; devices/episodes: 50
Source Parquet bytes: 2,936,604; staged Parquet bytes: 1,263,874; TsFile bytes: 966,383
TsFile/source Parquet size ratio: 0.3291

Schema

Time is INT64 milliseconds computed as round(timestamp * 1000) and restarts from zero within each episode. The source timestamp is dropped because it equals Time / 1000 seconds.

TsFile column(s)	Type	Role	Source mapping
Time	INT64/TIMESTAMP	TIME	round(timestamp * 1000) milliseconds
episode_index	STRING	TAG/device	original episode_index
task_index	STRING	TAG/device	original task_index
frame_index	INT64	FIELD	original frame_index
sample_index	INT64	FIELD	renamed from index
action_0 ... action_5	FLOAT	FIELD	flattened action[6]
observation_state_0 ... observation_state_5	FLOAT	FIELD	flattened observation.state[6]

The source timestamp is the only numeric column dropped after Time synthesis because it is redundant with Time / 1000 seconds. The two video feature references are omitted from TsFile fields because the MP4 files remain in the original repository.

Encoding and compression

The generated schema was verified after writing. The configured compact profile is:

time_encoding: TS_2DIFF
time_compression: LZ4
float_encoding: GORILLA
float_compression: LZ4
double_encoding: GORILLA
double_compression: LZ4
int32_encoding: TS_2DIFF
int32_compression: LZ4
int64_encoding: TS_2DIFF
int64_compression: LZ4
boolean_encoding: RLE
boolean_compression: LZ4
tag_storage: TsFile table-model device/tag columns

TAG values use TsFile table-model device/tag storage. No numeric trajectory rows or state/action dimensions are dropped.

Videos and alignment

Videos are not included in this TsFile repository. The original Hugging Face dataset keeps 100 MP4 files (50 per stream, 3,505,069,757 bytes / 3,342.69 MiB):

observation.images.camera_2: https://huggingface.co/datasets/bjb7/so101_berm_build_test_1/tree/c461bd97fd11dd998f5d91be564181bd2d9f1a0f/videos/chunk-000/observation.images.camera_2
observation.images.camera_4: https://huggingface.co/datasets/bjb7/so101_berm_build_test_1/tree/c461bd97fd11dd998f5d91be564181bd2d9f1a0f/videos/chunk-000/observation.images.camera_4 Each episode numeric rows remain frame-aligned through episode_index and frame_index.

Validation

Local validation status: PASS. Staged Parquet and TsFile metadata both contain 60,740 rows; the schema exposes 14 FIELD columns and 2 TAG columns. The detailed JSON/Markdown report remains in the local workdir and is not part of the upload set.

Minimal read example

from tsfile import TsFileReader
reader = TsFileReader("data/so101_berm_build_test_1.tsfile")
with reader.query_table("so101_berm_build_test_1", ["episode_index", "task_index", "frame_index", "sample_index", "action_0", "observation_state_0"], batch_size=1024) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Downloads last month: 29

Total file size:

1.09 MB