The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
raise ValueError(
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, 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.
This dataset contains the logs of models trained for Open-sci-ref 0.01.
Open-sci-ref 0.01 is a research dense transformer model family that includes all the intermediate checkpoints trained on 8 different reference open datasets (C4, Pile, SlimPajama, FineWeb-Edu-1.4T (v1.0.0), DCLM-baseline, Nemotron-CC-HQ, HPLT-2.0 (english subset), and CommonCorpus) on various model (0.13B - 0.4B - 1.3B - 1.7B) and token (50B, 300B, 1T) scales. It is suppposed to serve as baselines for comparison and for studies on training dynamics. All artifacts are released under permissive Apache 2.0 licence.
See the Open-sci-ref 0.01 research release blog post and github for more details.
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