Datasets:

junlinw
/

arb-ml-data-science-data-packet

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/webdataset/webdataset.py", line 84, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              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 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.

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ARB ML and data science raw corpus

Study and practice material for the ML and data science track of Applied RSI Bench (ARB): the DARE-bench, QRData and DSBio tasks. An ARB post-training agent gets this corpus read-only before its model is evaluated. It holds datasets to practice on, the three tasks' container images (to run analyses offline), and library and methodology documentation.

The corpus holds no held-out test case. Every dataset was checked against a private index of the three benchmarks' test cases (511 questions, 1,092 test tables): a dataset is refused if it carries a test dataset's identity or file, a whole test table (in any row and column order), 20 % of a test table's distinct rows, or 2 of its distinctive columns. Every text file, image layers included, was refused if it shares a 13-word run (at least 6 of the words with a letter) with a test question, or links to the sites of the three textbooks that 86 of QRData's 155 test questions come from (OpenIntro Statistics, Quantitative Social Science, Causal Inference for the Brave and True). DARE-bench folders keep only metadata.txt and the training table, never the validation files, labels or questions.

file	files	unpacked → archive	tree_sha256
`L.tar.gz`	17,542	2.62 GB → 2.33 GB	`2d9bc63a53bd823eb6daf8605db3a3ecbc1c4cf2720f61a1e0996feddbc1344f`

L.tar.gz sha256: 484aafa5f7075cab0f4c9b8aaceaa32a81d11788eb9a74da285b3ced0ffa6ec9

What is inside

folder	what	size
`docs/`	documentation pages (with docs/PACKET.json and docs/README.md) (17,467 files)	323.3 MB
`datasets/`	16 datasets: original files, dataset.json, verification.json (64 files)	74.8 MB
`images/`	OCI image archives, catalog and recipes (9 files)	2.22 GB

datasets/<id>/data/: each dataset's original files, unchanged. dataset.json gives the source, license, identities and each file's format and schema; verification.json which files loaded, and in which image.
images/: the three tasks' environments as OCI archives (podman load -i images/<id>.oci.tar): dare-task (DARE-bench), dsgym-instance (QRData, from DSGym) and dsbio-task (DSBio), built for linux/amd64. catalog.json lists them. Each one read the datasets with no network: dsbio-task all 32 files, the other two 30 (no h5py for the two .h5ad files).
docs/: 17,465 documentation pages as text, one folder per source host; docs/PACKET.json gives each page's source URL. Python 3.11 and 3.12 and pandas 2.2.3 come from their documentation archives.

PACKET.json lists every file with its sha256 and size; tree_sha256 is the sha256 of the sorted lines "{path} {sha256}\n". RELEASE.json and catalog.json record the build inputs. RELEASE.json says ready: false with a list of pending checks: the build tool always writes that, because it cannot certify a release by itself.

Use

hf download junlinw/arb-ml-data-science-data-packet L.tar.gz --repo-type dataset --revision <commit> --local-dir .
mkdir -p ml-data-science && tar -xzf L.tar.gz -C ml-data-science

ARB pins the exact commit it installs in the tasks' benchmark.toml.

Datasets and licenses

id	title	license	source
dare-varshitanalluri-crop-price-prediction-dataset-reg	Crop Price Prediction Dataset	MIT	Kaggle varshitanalluri/crop-price-prediction-dataset via DARE-bench
dare-harshvir04-index-value-economic-dataset-reg	Index value (economic dataset)	MIT	Kaggle harshvir04/index-value-economic-dataset via DARE-bench
dare-vivianyfwang-capital-bike-share-2018-20218-reg	Capital Bike Share	CC0-1.0	Kaggle vivianyfwang/capital-bike-share-2018-20218 via DARE-bench
dare-ahsan81-used-handheld-device-data-reg	Used Phones & Tablets Pricing Dataset	CC0-1.0	Kaggle ahsan81/used-handheld-device-data via DARE-bench
dare-himanshu9648-crop-price-prediction-dataset-in-india-ts	Crop Price Prediction in India dataset	CC0-1.0	Kaggle himanshu9648/crop-price-prediction-dataset-in-india via DARE-bench
dare-olegshpagin-visa-stock-price-prediction-dataset-ts	Visa Stock Price Prediction Dataset	CC0-1.0	Kaggle olegshpagin/visa-stock-price-prediction-dataset via DARE-bench
dare-negmgh-google-2020-2025-stock-market-ts	Google 2020-2025 Stock Market	Apache-2.0	Kaggle negmgh/google-2020-2025-stock-market via DARE-bench
dare-pranav941--world-food-wealth-bank-ts	🍕Food Bank🏦of the World🌍	CC0-1.0	Kaggle pranav941/-world-food-wealth-bank via DARE-bench
dare-miadul-brain-tumor-dataset-class	Brain Tumor Dataset	MIT	Kaggle miadul/brain-tumor-dataset via DARE-bench
dare-ashishgup-netflix-rotten-tomatoes-metacritic-imdb-class	Latest Netflix data with 26+ joined attributes	CC0-1.0	Kaggle ashishgup/netflix-rotten-tomatoes-metacritic-imdb via DARE-bench
dare-mexwell-image-sentiment-polarity-class	🖼️ Image Sentiment Polarity	CC0-1.0	Kaggle mexwell/image-sentiment-polarity via DARE-bench
dare-thedevastator-hunt-prices-for-north-american-mammals-class	Hunt Prices for North American Mammals	CC0-1.0	Kaggle thedevastator/hunt-prices-for-north-american-mammals via DARE-bench
uci-wine-quality	Wine Quality	CC-BY-4.0	archive.ics.uci.edu
uci-adult	Adult (census income)	CC-BY-4.0	archive.ics.uci.edu
cellxgene-4d4c7412	Mouse Craniofacial Expression Cranial Neural Crest	CC-BY-4.0	cellxgene.cziscience.com
cellxgene-6dfbbfae	E9.0: Puck_220718_11	CC-BY-4.0	cellxgene.cziscience.com

The DARE-bench folders come from the train split of Snowflake/dare-bench (commit 7f202a10); each one is a Kaggle dataset, and the license is the one its Kaggle page gave on 2026-10-26.

Documentation sources and licenses

Only pages whose publisher allows redistribution are included; 81 pages from other hosts (for example gsea-msigdb.org, otexts.com and mixtape.scunning.com) were left out. Pages were converted from HTML to text, which is a change to the original. Each page's source URL is in docs/PACKET.json.

license	pages	sources (pages)
BSD-3-Clause	11,184	pandas.pydata.org (6,357), numpy.org (1,000), networkx.org (1,000), docs.scipy.org (1,000), scikit-learn.org (969), scanpy.readthedocs.io (309), www.statsmodels.org (238), squidpy.readthedocs.io (139), anndata.readthedocs.io (125), umap-learn.readthedocs.io (30), gseapy.readthedocs.io (8), github.com/broadinstitute/tensorqtl (7), docs.h5py.org (2)
PSF-2.0	2,120	docs.python.org (2,120)
Apache-2.0	1,366	arrow.apache.org (1,000), www.ensembl.org (132), xgboost.readthedocs.io (109), github.com/theislab/single-cell-best-practices (55), github.com/openvax/pyensembl (27), openvax.github.io (22), causalml.readthedocs.io (21)
MIT	957	www.pywhy.org (397), pgmpy.org (291), lingam.readthedocs.io (65), bedtools.readthedocs.io (43), daler.github.io (35), causal-learn.readthedocs.io (31), pyranges.readthedocs.io (28), github.com/py-why/EconML (25), zarr.readthedocs.io (23), lightgbm.readthedocs.io (14), github.com/swolock/scrublet (3), github.com/chanzuckerberg/single-cell-curation (2)
NCSA	909	bashtage.github.io (909)
us-government-work	883	www.itl.nist.gov (883)
BSD-2-Clause	33	github.com/intro-stat-learning/ISLP_labs (18), patsy.readthedocs.io (15)
GPL-3.0	13	leidenalg.readthedocs.io (7), github.com/slowkow/harmonypy (6)

Images

The images are built from the tasks' own Dockerfiles: a Python base and the Python and system packages those files install, each under its own license.

The corpus is shared for research on post-training agents. To have something removed, open a discussion on this dataset.

Downloads last month: 37

Total file size:

2.33 GB