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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Failed to convert pandas DataFrame to Arrow Table from file /tmp/hf-datasets-cache/medium/datasets/47942865183608-config-parquet-and-info-AfricaKing-ManyTypes4Py-6ce3e487/hub/datasets--AfricaKing--ManyTypes4Py/snapshots/19d2f12bdfae3b15972013ec8608d2f96e6150be/processed_objects_complete/007MrNikoStepper.json.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
for _, table in generator:
^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
raise ValueError(
ValueError: Failed to convert pandas DataFrame to Arrow Table from file /tmp/hf-datasets-cache/medium/datasets/47942865183608-config-parquet-and-info-AfricaKing-ManyTypes4Py-6ce3e487/hub/datasets--AfricaKing--ManyTypes4Py/snapshots/19d2f12bdfae3b15972013ec8608d2f96e6150be/processed_objects_complete/007MrNikoStepper.json.
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/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
author string | repo string | repoUrl string | stars float64 | forks int64 |
|---|---|---|---|---|
apache | incubator-superset | https://github.com/apache/incubator-superset | 26,100 | 5,110 |
home-assistant | home-assistant | https://github.com/home-assistant/home-assistant | 23,100 | 6,710 |
pandas-dev | pandas | https://github.com/pandas-dev/pandas | 20,800 | 8,240 |
tornadoweb | tornado | https://github.com/tornadoweb/tornado | 18,300 | 5,050 |
psf | black | https://github.com/psf/black | 12,600 | 657 |
zulip | zulip | https://github.com/zulip/zulip | 9,650 | 404 |
kennethreitz | requests-html | https://github.com/kennethreitz/requests-html | 9,380 | 542 |
aio-libs | aiohttp | https://github.com/aio-libs/aiohttp | 8,360 | 1,240 |
darknessomi | musicbox | https://github.com/darknessomi/musicbox | 7,430 | 1,380 |
allenai | allennlp | https://github.com/allenai/allennlp | 6,950 | 1,450 |
aws | chalice | https://github.com/aws/chalice | 5,980 | 961 |
encode | apistar | https://github.com/encode/apistar | 4,060 | 304 |
HypothesisWorks | hypothesis | https://github.com/HypothesisWorks/hypothesis | 3,760 | 731 |
robinhood | faust | https://github.com/robinhood/faust | 3,420 | 669 |
snorkel-team | snorkel | https://github.com/snorkel-team/snorkel | 3,220 | 607 |
shidenggui | easytrader | https://github.com/shidenggui/easytrader | 2,830 | 1,330 |
lk-geimfari | mimesis | https://github.com/lk-geimfari/mimesis | 2,450 | 486 |
Instagram | MonkeyType | https://github.com/Instagram/MonkeyType | 2,180 | 329 |
tiangolo | fastapi | https://github.com/tiangolo/fastapi | 2,170 | 419 |
timothycrosley | isort | https://github.com/timothycrosley/isort | 2,140 | 245 |
facebookresearch | nevergrad | https://github.com/facebookresearch/nevergrad | 2,040 | 174 |
encode | starlette | https://github.com/encode/starlette | 2,020 | 373 |
mozillazg | python-pinyin | https://github.com/mozillazg/python-pinyin | 1,980 | 333 |
nabla-c0d3 | sslyze | https://github.com/nabla-c0d3/sslyze | 1,980 | 979 |
freqtrade | freqtrade | https://github.com/freqtrade/freqtrade | 1,970 | 613 |
DamnWidget | anaconda | https://github.com/DamnWidget/anaconda | 1,780 | 205 |
raiden-network | raiden | https://github.com/raiden-network/raiden | 1,740 | 742 |
skorokithakis | catt | https://github.com/skorokithakis/catt | 1,740 | 762 |
encode | httpx | https://github.com/encode/httpx | 1,590 | 521 |
QQuick | Transcrypt | https://github.com/QQuick/Transcrypt | 1,550 | 133 |
quantumblacklabs | kedro | https://github.com/quantumblacklabs/kedro | 1,450 | 462 |
alerta | alerta | https://github.com/alerta/alerta | 1,450 | 478 |
shidenggui | easyquotation | https://github.com/shidenggui/easyquotation | 1,390 | 652 |
miyakogi | pyppeteer | https://github.com/miyakogi/pyppeteer | 1,220 | 379 |
PrefectHQ | prefect | https://github.com/PrefectHQ/prefect | 1,200 | 177 |
databricks | koalas | https://github.com/databricks/koalas | 1,180 | 171 |
samuelcolvin | pydantic | https://github.com/samuelcolvin/pydantic | 1,120 | 347 |
nubank | fklearn | https://github.com/nubank/fklearn | 1,040 | 114 |
fishtown-analytics | dbt | https://github.com/fishtown-analytics/dbt | 1,010 | 181 |
common-workflow-language | common-workflow-language | https://github.com/common-workflow-language/common-workflow-language | 980 | 156 |
bethgelab | foolbox | https://github.com/bethgelab/foolbox | 907 | 172 |
airbnb | binaryalert | https://github.com/airbnb/binaryalert | 898 | 102 |
ethereum | py-evm | https://github.com/ethereum/py-evm | 887 | 318 |
instaloader | instaloader | https://github.com/instaloader/instaloader | 874 | 134 |
Ulauncher | Ulauncher | https://github.com/Ulauncher/Ulauncher | 873 | 52 |
awslabs | sockeye | https://github.com/awslabs/sockeye | 853 | 237 |
ethereum | eth2.0-specs | https://github.com/ethereum/eth2.0-specs | 842 | 202 |
snapcore | snapcraft | https://github.com/snapcore/snapcraft | 820 | 311 |
not-kennethreitz | requests3 | https://github.com/not-kennethreitz/requests3 | 770 | 28 |
encode | databases | https://github.com/encode/databases | 769 | 48 |
yampelo | beagle | https://github.com/yampelo/beagle | 735 | 80 |
JulienPalard | Pipe | https://github.com/JulienPalard/Pipe | 718 | 74 |
arraiyopensource | kornia | https://github.com/arraiyopensource/kornia | 716 | 63 |
jwkvam | bowtie | https://github.com/jwkvam/bowtie | 673 | 57 |
dragonchain | dragonchain | https://github.com/dragonchain/dragonchain | 644 | 152 |
jazzband | django-axes | https://github.com/jazzband/django-axes | 634 | 216 |
awslabs | gluon-ts | https://github.com/awslabs/gluon-ts | 610 | 106 |
klen | pylama | https://github.com/klen/pylama | 606 | 63 |
kennethreitz | requests3 | https://github.com/kennethreitz/requests3 | 606 | 18 |
sourcelair | ceryx | https://github.com/sourcelair/ceryx | 595 | 102 |
jreese | aiomultiprocess | https://github.com/jreese/aiomultiprocess | 585 | 45 |
encode | orm | https://github.com/encode/orm | 571 | 28 |
PyCQA | pydocstyle | https://github.com/PyCQA/pydocstyle | 564 | 117 |
rchain | rchain | https://github.com/rchain/rchain | 551 | 157 |
cltk | cltk | https://github.com/cltk/cltk | 542 | 277 |
alcarithemad | zfsp | https://github.com/alcarithemad/zfsp | 536 | 24 |
pirate | crypto-trader | https://github.com/pirate/crypto-trader | 527 | 128 |
mirumee | ariadne | https://github.com/mirumee/ariadne | 495 | 35 |
Curt-Park | rainbow-is-all-you-need | https://github.com/Curt-Park/rainbow-is-all-you-need | 490 | 110 |
tortoise | tortoise-orm | https://github.com/tortoise/tortoise-orm | 488 | 46 |
Dentosal | python-sc2 | https://github.com/Dentosal/python-sc2 | 472 | 163 |
materialsproject | pymatgen | https://github.com/materialsproject/pymatgen | 470 | 387 |
alexander-akhmetov | python-shortcuts | https://github.com/alexander-akhmetov/python-shortcuts | 470 | 27 |
Netflix-Skunkworks | diffy | https://github.com/Netflix-Skunkworks/diffy | 467 | 42 |
ethereum | sharding | https://github.com/ethereum/sharding | 458 | 91 |
shacker | django-todo | https://github.com/shacker/django-todo | 457 | 161 |
Shougo | defx.nvim | https://github.com/Shougo/defx.nvim | 454 | 30 |
tf-encrypted | tf-encrypted | https://github.com/tf-encrypted/tf-encrypted | 448 | 62 |
aio-libs | yarl | https://github.com/aio-libs/yarl | 438 | 63 |
afourmy | eNMS | https://github.com/afourmy/eNMS | 409 | 73 |
tiangolo | full-stack-fastapi-postgresql | https://github.com/tiangolo/full-stack-fastapi-postgresql | 399 | 62 |
bocadilloproject | bocadillo | https://github.com/bocadilloproject/bocadillo | 396 | 34 |
bbugyi200 | funky | https://github.com/bbugyi200/funky | 396 | 15 |
sabeechen | hassio-google-drive-backup | https://github.com/sabeechen/hassio-google-drive-backup | 390 | 18 |
facebookresearch | craftassist | https://github.com/facebookresearch/craftassist | 379 | 32 |
pymc-devs | pymc4 | https://github.com/pymc-devs/pymc4 | 374 | 45 |
maqp | tfc | https://github.com/maqp/tfc | 369 | 16 |
ufal | neuralmonkey | https://github.com/ufal/neuralmonkey | 368 | 88 |
n8henrie | pycookiecheat | https://github.com/n8henrie/pycookiecheat | 361 | 64 |
IntelAI | nauta | https://github.com/IntelAI/nauta | 355 | 46 |
kmkurn | pytorch-crf | https://github.com/kmkurn/pytorch-crf | 350 | 53 |
reddit | baseplate.py | https://github.com/reddit/baseplate.py | 338 | 88 |
huan | node-facenet | https://github.com/huan/node-facenet | 338 | 55 |
ebroecker | canmatrix | https://github.com/ebroecker/canmatrix | 322 | 166 |
hardbyte | python-can | https://github.com/hardbyte/python-can | 318 | 180 |
allenai | scispacy | https://github.com/allenai/scispacy | 316 | 37 |
aio-libs | aiohttp-demos | https://github.com/aio-libs/aiohttp-demos | 315 | 106 |
SeldonIO | alibi | https://github.com/SeldonIO/alibi | 314 | 31 |
tsileo | microblog.pub | https://github.com/tsileo/microblog.pub | 311 | 18 |
wemake-services | wemake-python-styleguide | https://github.com/wemake-services/wemake-python-styleguide | 307 | 95 |
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processed_projects_complete
for info about the JSON fields.
processed_projects_clean
: Contains JSON-formatted processed projects (clean version).
dataset_split.csv
: Contains source files' path for the training, validation, test sets.
duplicate_files.txt
: Contains the list of duplicate source files in the original dataset.
ManyTypes4PyDataset.spec
: Contains the GitHub URL of the projects and their commit hash at clone time.
MT4Py_VTHs.csv
: Contains extracted visible type hints and their frequency for the whole dataset.
mypy-dependents-by-stars.json
.
type_checked_files.txt
).