Package evaluation to test HuggingFaceDatasets on Julia 1.14.0-DEV.3128 (f573e2bf71*) started at 2026-09-06T19:29:20.647


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.14`

Set-up completed after 15.42s


################################################################################
# Installation
#

Installing HuggingFaceDatasets...
   Resolving package versions...
    Updating `~/.julia/environments/v1.14/Project.toml`
  [d94b9a45] + HuggingFaceDatasets v0.4.2
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [3da002f7] + ColorTypes v0.12.1
  [c3611d14] + ColorVectorSpace v0.11.0
  [5ae59095] + Colors v0.13.1
  [34da2185] + Compat v4.18.1
  [992eb4ea] + CondaPkg v0.2.36
  [9a962f9c] + DataAPI v1.16.0
  [e2d170a0] + DataValueInterfaces v1.0.0
⌅ [53c48c17] + FixedPointNumbers v0.8.6
  [d94b9a45] + HuggingFaceDatasets v0.4.2
  [a09fc81d] + ImageCore v0.10.5
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.8.0
  [682c06a0] + JSON v1.8.0
  [c2834f40] + MLCore v1.1.0
  [1914dd2f] + MacroTools v0.5.16
  [dbb5928d] + MappedArrays v0.4.3
  [0b3b1443] + MicroMamba v0.1.15
  [e94cdb99] + MosaicViews v0.3.4
  [6fe1bfb0] + OffsetArrays v1.17.0
  [bac558e1] + OrderedCollections v2.0.1
  [5432bcbf] + PaddedViews v0.5.12
  [69de0a69] + Parsers v3.0.0
  [fa939f87] + Pidfile v1.3.0
  [aea7be01] + PrecompileTools v1.3.4
  [21216c6a] + Preferences v1.5.2
  [6099a3de] + PythonCall v0.9.35
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [6c6a2e73] + Scratch v1.3.0
  [699a6c99] + SimpleTraits v0.9.6
  [cae243ae] + StackViews v0.1.2
  [10745b16] + Statistics v1.11.5
  [ec057cc2] + StructUtils v2.8.5
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.14.0
  [62fd8b95] + TensorCore v0.1.1
  [e17b2a0c] + UnsafePointers v1.0.0
  [f8abcde7] + micromamba_jll v2.3.1+0
  [4d7b5844] + pixi_jll v0.76.2+0
  [0dad84c5] + ArgTools v1.2.0
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [f43a241f] + Downloads v1.7.0
  [7b1f6079] + FileWatching v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0
  [4af54fe1] + LazyArtifacts v1.11.0
  [b27032c2] + LibCURL v1.0.0
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.14.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.14.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v1.13.0
  [9e88b42a] + Serialization v1.11.0
  [f489334b] + StyledStrings v1.13.0
  [fa267f1f] + TOML v1.0.3
  [a4e569a6] + Tar v1.10.0
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0
  [deac9b47] + LibCURL_jll v8.21.0+0
  [e37daf67] + LibGit2_jll v1.9.7+0
  [29816b5a] + LibSSH2_jll v1.11.104+0
  [14a3606d] + MozillaCACerts_jll v2026.8.13
  [4536629a] + OpenBLAS_jll v0.3.34+0
  [458c3c95] + OpenSSL_jll v3.5.8+0
  [efcefdf7] + PCRE2_jll v10.48.0+0
  [83775a58] + Zlib_jll v1.3.2+0
  [3161d3a3] + Zstd_jll v1.5.7+1
  [8e850b90] + libblastrampoline_jll v5.15.0+0
  [8e850ede] + nghttp2_jll v1.70.0+0
  [3f19e933] + p7zip_jll v17.8.2+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 4.27s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...
Precompiling project...
  12.4 s  ✓ MLUtils
    CondaPkg Found dev dependencies: /home/pkgeval/.julia/packages/HuggingFaceDatasets/utqFM/CondaPkg.toml
    CondaPkg Found dependencies: /home/pkgeval/.julia/packages/CondaPkg/lKlVY/CondaPkg.toml
    CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/5WGSP/CondaPkg.toml
    CondaPkg Resolving changes
             + datasets
             + numpy
             + openssl
             + pillow
             + python
    CondaPkg Initialising pixi
             │ /home/pkgeval/.julia/artifacts/8429d049f6c01106c62971e9540e146dc068df25/bin/pixi
             │ init
             │ --format pixi
             └ /tmp/jl_oquFKH/.CondaPkg
✔ Created /tmp/jl_oquFKH/.CondaPkg/pixi.toml
    CondaPkg Wrote /tmp/jl_oquFKH/.CondaPkg/pixi.toml
             │ [dependencies]
             │ numpy = "*"
             │ openssl = ">=3, <3.6"
             │ pillow = "*"
             │ datasets = ">=4.0, <5"
             │ 
             │     [dependencies.python]
             │     version = ">=3.10,!=3.14.0,!=3.14.1,<4, <3.14"
             │     build = "*cp*"
             │     channel = "conda-forge"
             │ 
             │ [workspace]
             │ name = ".CondaPkg"
             │ description = "automatically generated by CondaPkg.jl"
             │ platforms = ["linux-64"]
             │ channel-priority = "strict"
             └ channels = ["conda-forge"]
    CondaPkg Installing packages
             │ /home/pkgeval/.julia/artifacts/8429d049f6c01106c62971e9540e146dc068df25/bin/pixi
             │ install
             └ --manifest-path /tmp/jl_oquFKH/.CondaPkg/pixi.toml
✔ The default environment has been installed.
  90.4 s  ✓ HuggingFaceDatasets
  2 dependencies successfully precompiled in 104 seconds. 115 already precompiled.
  1 dependency had output during precompilation:
┌ HuggingFaceDatasets
│  CondaPkg Found dev dependencies: /home/pkgeval/.julia/packages/HuggingFaceDatasets/utqFM/CondaPkg.toml
│      CondaPkg Found dependencies: /home/pkgeval/.julia/packages/CondaPkg/lKlVY/CondaPkg.toml
│      CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/5WGSP/CondaPkg.toml
│      CondaPkg Resolving changes
│               + datasets
│               + numpy
│               + openssl
│               + pillow
│               + python
│      CondaPkg Initialising pixi
│               │ /home/pkgeval/.julia/artifacts/8429d049f6c01106c62971e9540e146dc068df25/bin/pixi
│               │ init
│               │ --format pixi
│               └ /tmp/jl_oquFKH/.CondaPkg
│  ✔ Created /tmp/jl_oquFKH/.CondaPkg/pixi.toml
│      CondaPkg Wrote /tmp/jl_oquFKH/.CondaPkg/pixi.toml
│               │ [dependencies]
│               │ numpy = "*"
│               │ openssl = ">=3, <3.6"
│               │ pillow = "*"
│               │ datasets = ">=4.0, <5"
│               │ 
│               │     [dependencies.python]
│               │     version = ">=3.10,!=3.14.0,!=3.14.1,<4, <3.14"
│               │     build = "*cp*"
│               │     channel = "conda-forge"
│               │ 
│               │ [workspace]
│               │ name = ".CondaPkg"
│               │ description = "automatically generated by CondaPkg.jl"
│               │ platforms = ["linux-64"]
│               │ channel-priority = "strict"
│               └ channels = ["conda-forge"]
│      CondaPkg Installing packages
│               │ /home/pkgeval/.julia/artifacts/8429d049f6c01106c62971e9540e146dc068df25/bin/pixi
│               │ install
│               └ --manifest-path /tmp/jl_oquFKH/.CondaPkg/pixi.toml
│  ✔ The default environment has been installed.
└  

Precompilation completed after 107.52s


################################################################################
# Testing
#

     Testing HuggingFaceDatasets
      Status `/tmp/jl_Cl3Z71/Project.toml`
  [864edb3b] DataStructures v0.19.6
  [d94b9a45] HuggingFaceDatasets v0.4.2 `~/.julia/packages/HuggingFaceDatasets/utqFM/`
  [a09fc81d] ImageCore v0.10.5
  [f1d291b0] MLUtils v0.4.13
  [6099a3de] PythonCall v0.9.35
  [8ba89e20] Distributed v1.12.0
  [9e88b42a] Serialization v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_Cl3Z71/Manifest.toml`
  [79e6a3ab] Adapt v4.7.0
  [66dad0bd] AliasTables v1.1.3
  [a9b6321e] Atomix v1.1.3
  [ab4f0b2a] BFloat16s v0.6.1
  [d360d2e6] ChainRulesCore v1.26.1
  [da1fd8a2] CodeTracking v3.0.2
  [3da002f7] ColorTypes v0.12.1
  [c3611d14] ColorVectorSpace v0.11.0
  [5ae59095] Colors v0.13.1
  [34da2185] Compat v4.18.1
  [992eb4ea] CondaPkg v0.2.36
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.19.6
  [e2d170a0] DataValueInterfaces v1.0.0
  [8bb1440f] DelimitedFiles v1.9.1
  [ffbed154] DocStringExtensions v0.9.5
⌅ [53c48c17] FixedPointNumbers v0.8.6
  [46192b85] GPUArraysCore v0.2.0
  [076d061b] HashArrayMappedTries v0.2.0
  [d94b9a45] HuggingFaceDatasets v0.4.2 `~/.julia/packages/HuggingFaceDatasets/utqFM/`
  [a09fc81d] ImageCore v0.10.5
  [92d709cd] IrrationalConstants v0.2.6
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.8.0
  [682c06a0] JSON v1.8.0
  [63c18a36] KernelAbstractions v0.9.42
  [2ab3a3ac] LogExpFunctions v1.0.1
  [c2834f40] MLCore v1.1.0
  [f1d291b0] MLUtils v0.4.13
  [1914dd2f] MacroTools v0.5.16
  [dbb5928d] MappedArrays v0.4.3
  [0b3b1443] MicroMamba v0.1.15
  [e1d29d7a] Missings v1.2.0
  [e94cdb99] MosaicViews v0.3.4
  [872c559c] NNlib v0.9.45
  [6fe1bfb0] OffsetArrays v1.17.0
  [bac558e1] OrderedCollections v2.0.1
  [5432bcbf] PaddedViews v0.5.12
  [69de0a69] Parsers v3.0.0
  [fa939f87] Pidfile v1.3.0
  [aea7be01] PrecompileTools v1.3.4
  [21216c6a] Preferences v1.5.2
  [43287f4e] PtrArrays v1.4.0
  [6099a3de] PythonCall v0.9.35
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [7e506255] ScopedValues v1.6.2
  [6c6a2e73] Scratch v1.3.0
  [605ecd9f] ShowCases v0.1.0
  [699a6c99] SimpleTraits v0.9.6
  [a2af1166] SortingAlgorithms v1.2.3
  [cae243ae] StackViews v0.1.2
  [90137ffa] StaticArrays v1.9.20
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.5
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.13
  [ec057cc2] StructUtils v2.8.5
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.14.0
  [62fd8b95] TensorCore v0.1.1
  [013be700] UnsafeAtomics v0.3.2
  [e17b2a0c] UnsafePointers v1.0.0
  [f8abcde7] micromamba_jll v2.3.1+0
  [4d7b5844] pixi_jll v0.76.2+0
  [0dad84c5] ArgTools v1.2.0
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.12.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v1.0.0
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.14.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.14.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.13.0
  [9e88b42a] Serialization v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.5.7+0
  [deac9b47] LibCURL_jll v8.21.0+0
  [e37daf67] LibGit2_jll v1.9.7+0
  [29816b5a] LibSSH2_jll v1.11.104+0
  [14a3606d] MozillaCACerts_jll v2026.8.13
  [4536629a] OpenBLAS_jll v0.3.34+0
  [458c3c95] OpenSSL_jll v3.5.8+0
  [efcefdf7] PCRE2_jll v10.48.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.2+0
  [3161d3a3] Zstd_jll v1.5.7+1
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.70.0+0
  [3f19e933] p7zip_jll v17.8.2+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
    CondaPkg Found dev dependencies: /home/pkgeval/.julia/packages/HuggingFaceDatasets/utqFM/CondaPkg.toml
    CondaPkg Found dependencies: /home/pkgeval/.julia/packages/CondaPkg/lKlVY/CondaPkg.toml
    CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/5WGSP/CondaPkg.toml
    CondaPkg Resolving changes
             + datasets
             + numpy
             + openssl
             + pillow
             + python
    CondaPkg Initialising pixi
             │ /home/pkgeval/.julia/artifacts/8429d049f6c01106c62971e9540e146dc068df25/bin/pixi
             │ init
             │ --format pixi
             └ /tmp/jl_Cl3Z71/.CondaPkg
✔ Created /tmp/jl_Cl3Z71/.CondaPkg/pixi.toml
    CondaPkg Wrote /tmp/jl_Cl3Z71/.CondaPkg/pixi.toml
             │ [dependencies]
             │ numpy = "*"
             │ openssl = ">=3, <3.6"
             │ pillow = "*"
             │ datasets = ">=4.0, <5"
             │ 
             │     [dependencies.python]
             │     version = ">=3.10,!=3.14.0,!=3.14.1,<4, <3.14"
             │     build = "*cp*"
             │     channel = "conda-forge"
             │ 
             │ [workspace]
             │ name = ".CondaPkg"
             │ description = "automatically generated by CondaPkg.jl"
             │ platforms = ["linux-64"]
             │ channel-priority = "strict"
             └ channels = ["conda-forge"]
    CondaPkg Installing packages
             │ /home/pkgeval/.julia/artifacts/8429d049f6c01106c62971e9540e146dc068df25/bin/pixi
             │ install
             └ --manifest-path /tmp/jl_Cl3Z71/.CondaPkg/pixi.toml
✔ The default environment has been installed.
Test Summary: | Pass  Total   Time
transforms    |   33     33  59.9s
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.

Generating train split:   0%|          | 0/60000 [00:00<?, ? examples/s]
Generating train split:  17%|█▋        | 10000/60000 [00:00<00:00, 95257.98 examples/s]
Generating train split:  38%|███▊      | 23000/60000 [00:00<00:00, 86528.40 examples/s]
Generating train split:  88%|████████▊ | 53100/60000 [00:00<00:00, 167507.02 examples/s]
Generating train split: 100%|██████████| 60000/60000 [00:00<00:00, 154187.05 examples/s]

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Generating test split: 100%|██████████| 1104/1104 [00:00<00:00, 93596.74 examples/s]

Saving the dataset (0/1 shards):   0%|          | 0/2 [00:00<?, ? examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 2/2 [00:00<00:00, 538.42 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 2/2 [00:00<00:00, 502.70 examples/s]

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Saving the dataset (1/1 shards): 100%|██████████| 2/2 [00:00<00:00, 575.11 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 2/2 [00:00<00:00, 529.88 examples/s]

Creating CSV from Arrow format:   0%|          | 0/1 [00:00<?, ?ba/s]
Creating CSV from Arrow format: 100%|██████████| 1/1 [00:00<00:00, 156.59ba/s]

Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 3 examples [00:00, 644.95 examples/s]

Creating json from Arrow format:   0%|          | 0/1 [00:00<?, ?ba/s]
Creating json from Arrow format: 100%|██████████| 1/1 [00:00<00:00, 442.20ba/s]

Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 3 examples [00:00, 1617.55 examples/s]

Creating parquet from Arrow format:   0%|          | 0/1 [00:00<?, ?ba/s]
Creating parquet from Arrow format: 100%|██████████| 1/1 [00:00<00:00, 2351.07ba/s]

Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 3 examples [00:00, 602.63 examples/s]
Parameter 'function'=#35 of the transform datasets.arrow_dataset.Dataset.filter@2.0.1 couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. This warning is only shown once. Subsequent hashing failures won't be shown.

Filter:   0%|          | 0/6 [00:00<?, ? examples/s]
Filter: 100%|██████████| 6/6 [00:00<00:00,  9.25 examples/s]
Filter: 100%|██████████| 6/6 [00:00<00:00,  9.22 examples/s]

Map:   0%|          | 0/6 [00:00<?, ? examples/s]
Map: 100%|██████████| 6/6 [00:00<00:00, 12.93 examples/s]
Map: 100%|██████████| 6/6 [00:00<00:00, 12.90 examples/s]

Map:   0%|          | 0/6 [00:00<?, ? examples/s]
Map:  17%|█▋        | 1/6 [00:00<00:00,  5.34 examples/s]
Map: 100%|██████████| 6/6 [00:00<00:00, 31.53 examples/s]

Filter:   0%|          | 0/6 [00:00<?, ? examples/s]
Filter: 100%|██████████| 6/6 [00:00<00:00, 46.27 examples/s]
Filter: 100%|██████████| 6/6 [00:00<00:00, 45.89 examples/s]

Filter:   0%|          | 0/6 [00:00<?, ? examples/s]
Filter: 100%|██████████| 6/6 [00:00<00:00, 15.38 examples/s]
Filter: 100%|██████████| 6/6 [00:00<00:00, 15.33 examples/s]

Map:   0%|          | 0/6 [00:00<?, ? examples/s]
Map: 100%|██████████| 6/6 [00:00<00:00, 143.91 examples/s]

Filter:   0%|          | 0/6 [00:00<?, ? examples/s]
Filter: 100%|██████████| 6/6 [00:00<00:00, 159.19 examples/s]
Test Summary: | Pass  Total   Time
dataset       |  187    187  51.2s

Casting to class labels:   0%|          | 0/4 [00:00<?, ? examples/s]
Casting to class labels: 100%|██████████| 4/4 [00:00<00:00, 1082.82 examples/s]

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Casting to class labels: 100%|██████████| 4/4 [00:00<00:00, 1162.34 examples/s]
Test Summary: | Pass  Total  Time
features      |   51     51  2.9s

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Test Summary: | Pass  Total  Time
datasetdict   |   98     98  5.7s
Test Summary:   | Pass  Total  Time
iterabledataset |   27     27  2.4s
Test Summary:       | Pass  Total  Time
iterabledatasetdict |   17     17  0.9s
┌ Info: HuggingFaceDatasets: writing in-memory dataset to a temporary Arrow file.
└   path = "/tmp/jl_5fXA9d"

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Saving the dataset (1/1 shards): 100%|██████████| 20/20 [00:00<00:00, 4770.59 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 20/20 [00:00<00:00, 4535.36 examples/s]
┌ Info: HuggingFaceDatasets: writing in-memory dataset to a temporary Arrow file.
└   path = "/tmp/jl_B6Mks1"

Saving the dataset (0/1 shards):   0%|          | 0/5 [00:00<?, ? examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 5/5 [00:00<00:00, 338.18 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 5/5 [00:00<00:00, 332.88 examples/s]
┌ Info: HuggingFaceDatasets: writing in-memory dataset to a temporary Arrow file.
└   path = "/tmp/jl_VMy4Qf"

Saving the dataset (0/1 shards):   0%|          | 0/5 [00:00<?, ? examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 5/5 [00:00<00:00, 171.61 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 5/5 [00:00<00:00, 170.21 examples/s]
┌ Info: HuggingFaceDatasets: writing in-memory dataset to a temporary Arrow file.
└   path = "/tmp/jl_7tFVIU"

Saving the dataset (0/1 shards):   0%|          | 0/5 [00:00<?, ? examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 5/5 [00:00<00:00, 1326.64 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 5/5 [00:00<00:00, 1239.89 examples/s]
┌ Info: HuggingFaceDatasets: writing in-memory dataset to a temporary Arrow file.
└   path = "/tmp/jl_bq9iTo"

Saving the dataset (0/1 shards):   0%|          | 0/10 [00:00<?, ? examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 10/10 [00:00<00:00, 2866.53 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 10/10 [00:00<00:00, 2660.69 examples/s]
┌ Info: HuggingFaceDatasets: writing in-memory dataset to a temporary Arrow file.
└   path = "/tmp/jl_y9C7RF"

Saving the dataset (0/1 shards):   0%|          | 0/40 [00:00<?, ? examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 40/40 [00:00<00:00, 7103.27 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 40/40 [00:00<00:00, 6654.98 examples/s]
Test Summary: | Pass  Total     Time
serialization |   15     15  6m40.1s
[ Info: CI detected: skipping tests on large datasets
     Testing HuggingFaceDatasets tests passed 

Testing completed after 612.4s

PkgEval succeeded after 800.05s