{
  "schema_version": 1,
  "measured_date": "2026-09-06",
  "site": "https://vramlab.com/",
  "article": "/posts/hf-datasets-cache-wsl2/",
  "primary_cases": 51,
  "repetitions_per_condition": 3,
  "environment": {
    "windows": "Windows 11 Home 26200.9168",
    "wsl": "2.7.12.0",
    "kernel": "6.18.33.2-2",
    "guest": "Ubuntu Base 24.04.4",
    "python": "3.12.3",
    "filesystem": "WSL2 ext4",
    "packages": {
      "PyYAML": "6.0.3",
      "Pygments": "2.21.0",
      "aiohappyeyeballs": "2.7.1",
      "aiohttp": "3.14.3",
      "aiosignal": "1.4.0",
      "annotated-doc": "0.0.5",
      "anyio": "4.15.1",
      "attrs": "26.1.0",
      "certifi": "2026.7.22",
      "charset-normalizer": "3.5.1",
      "click": "8.5.0",
      "datasets": "5.0.1",
      "dill": "0.4.1",
      "filelock": "3.32.5",
      "frozenlist": "1.8.0",
      "fsspec": "2026.6.0",
      "h11": "0.16.0",
      "hf-xet": "1.6.0",
      "httpcore": "1.0.9",
      "httpx": "0.28.1",
      "huggingface_hub": "1.30.0",
      "idna": "3.19",
      "markdown-it-py": "4.2.0",
      "mdurl": "0.1.2",
      "multidict": "6.7.1",
      "multiprocess": "0.70.19",
      "numpy": "2.5.2",
      "packaging": "26.3",
      "pandas": "3.0.5",
      "pip": "24.0",
      "propcache": "0.5.2",
      "pyarrow": "25.0.1",
      "python-dateutil": "2.9.0.post0",
      "regex": "2026.9.3",
      "requests": "2.34.2",
      "rich": "15.0.0",
      "safetensors": "0.8.0",
      "shellingham": "1.5.4",
      "six": "1.17.0",
      "tokenizers": "0.23.2",
      "tqdm": "4.70.0",
      "transformers": "5.16.1",
      "typer": "0.27.2",
      "typing_extensions": "4.16.0",
      "urllib3": "2.7.0",
      "xxhash": "4.0.1",
      "yarl": "1.24.5"
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  },
  "input_pins": {
    "dataset": "lhoestq/demo1",
    "dataset_revision": "87ecf163bedca9d80598b528940a9c4f99e14c11",
    "model": "hf-internal-testing/tiny-random-bert",
    "model_revision": "f171d7baecaf37b5da5a3616d8833b9969753535"
  },
  "validation": {
    "status": "PRIMARY_SEMANTIC_PASS",
    "checks": 24348,
    "validator_sha256": "a7e5a1fa97b03a8a8c6c09ad1ed779b7e1d542289f611163081e3bc4110f058e",
    "raw_manifest_sha256": "5e1b23502febc4b4fb4993c180261add030e6957d3e1f8407303bcedfd5ec951",
    "runtime_before_after_sha256": "45820271caa728683a516513edbc3e7f7f2193e1d21af9bfe330e7675ffe4cbc",
    "python_and_package_files_unchanged": 8210,
    "independent_arrow_files_checked": 117
  },
  "method": "Fresh interpreter and empty case directories per case; actual pinned downloads and generated Arrow inventories; row digest is SHA256 over sorted-key compact UTF-8 JSON rows each followed by newline.",
  "scope": "One WSL host; tiny non-streaming Hub CSV dataset and model config only. No model weights, GPU inference, throughput, large-dataset storage ratio or host disk reclaim measurement. Offline check uses library offline flags plus a self-tested Python socket guard, not OS network isolation.",
  "excluded_scouts": "scout-v1: six harness KeyError failures from text versus actual review column; scout-v2: six successful preparation cases. Neither counted in the primary matrix.",
  "summary": [
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