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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'aerodactyl' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1501, in _prepare_split_single
writer.write(example)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 682, in write
self.write_examples_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 655, in write_examples_on_file
self._write_batch(batch_examples=batch_examples)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 756, in _write_batch
self.write_table(pa_table, writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 771, in _write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'aerodactyl' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1514, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 783, in finalize
self.write_examples_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 655, in write_examples_on_file
self._write_batch(batch_examples=batch_examples)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 756, in _write_batch
self.write_table(pa_table, writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 771, in _write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'aerodactyl' with no child field to Parquet. Consider adding a dummy child field.
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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1540, in _download_and_prepare
super()._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1345, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1523, 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.
json dict | __key__ string | __url__ string |
|---|---|---|
{
"aerodactyl": {},
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},
"arbok": {},
"arcanine": {},
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},
"beedrill": {},
"blastoise": {},
"bulbasaur": {},
"butterfree": {},
"caterpie": {},
"chansey": {
"Mew": 0.5236500000000001
},
"charizard": {
"Mewtwo": 0.66197... | gen1/ubers/1500/2018-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"chansey": null,
"charizard": null,
"charmander": null,
"clefable": null,
"cloyster": {},
"dewgong": null... | gen1/ubers/1500/2021-05 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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"Mew": 0.53193
},
"charizard": {
"Mewtwo": 0.73622
},
"... | gen1/ubers/1500/2022-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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},
"beedrill": null,
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"bulbasaur": null,
"butterfree": null,
"caterpie": null,
"chansey": {
"Mew": null
},
"charizard": {
"Mewtwo": null
},
... | gen1/ubers/1500/2019-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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},
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"caterpie": null,
"chansey": {
"Mew": null
},
"charizard": {
"Mewtwo": null
},
... | gen1/ubers/1500/2021-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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"Mewtwo": 0.64485
},
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"caterpie": null,
"chansey": {
"Mew": 0.61135
},
"charizard": {
"Mewtwo": 0.76962999999999... | gen1/ubers/1500/2024-08 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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},
"charizard": {
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},
"charmander": null... | gen1/ubers/1500/2018-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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},
... | gen1/ubers/1500/2022-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"chansey": {
"Mew": null
},
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"charmander": {},
"cle... | gen1/ubers/1500/2020-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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},
"charma... | gen1/ubers/1500/2023-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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},
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"charmander": nu... | gen1/ubers/1500/2023-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"chansey": {
"Mew": 0.51975
},
"charizard": {
"Mewtwo": 0.71792
},
"ch... | gen1/ubers/1500/2020-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
"charizard": {
"Mewtwo": null
},
... | gen1/ubers/1500/2026-01 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
"charizard": {
"Mewtwo": null
},
"cha... | gen1/ubers/1500/2025-12 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"charizard": {
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},
"c... | gen1/ubers/1500/2024-09 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
"charizard": {
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},
"cha... | gen1/ubers/1500/2021-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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"caterpie": {},
"chansey": {
"Mew": 0.52969
},
"charizard": {
"Mewtwo": 0.6361399999999999
... | gen1/ubers/1500/2019-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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"Mewtwo": null
},
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"chansey": {
"Mew": 0.60692
},
"charizard": {
"Mewtwo": 0.76312
},
"ch... | gen1/ubers/0/2018-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"charmander": null,
"clefable": null,
"cloyster": {},
"dewgong": null... | gen1/ubers/0/2021-05 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
"aerodactyl": {},
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},
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},
"beedrill": {},
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"butterfree": {},
"caterpie": {},
"chansey": {
"Mew": 0.55506
},
"charizard": {
"Mewtwo": 0.81... | gen1/ubers/0/2022-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
"aerodactyl": {},
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},
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"chansey": {
"Mew": null
},
"charizard": {
"Mewtwo": null
},
... | gen1/ubers/0/2019-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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},
"charizard": {
"Mewtwo": null
},
... | gen1/ubers/0/2021-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
"aerodactyl": {},
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},
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"Mewtwo": 0.69482
},
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"caterpie": {},
"chansey": {
"Mew": 0.62459
},
"charizard": {
"Mewtwo": 0.8357699999999... | gen1/ubers/0/2024-08 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"chansey": {
"Mew": null
},
"charizard": {
"Mewtwo": null
},
"charmander": null... | gen1/ubers/0/2018-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"charizard": {
"Mewtwo": null
},
... | gen1/ubers/0/2022-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"chansey": {
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},
"charizard": null,
"charmander": {},
"cle... | gen1/ubers/0/2020-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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},
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},
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"caterpie": null,
"chansey": {
"Mew": 0.57928
},
"charizard": {
"Mewtwo": 0.88988
},
"cha... | gen1/ubers/0/2023-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
"aerodactyl": null,
"alakazam": {
"Mewtwo": null
},
"arbok": null,
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"articuno": null,
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"caterpie": null,
"chansey": {
"Mew": null
},
"charizard": {
"Mewtwo": null
},
"charmander": nu... | gen1/ubers/0/2023-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
"aerodactyl": {},
"alakazam": {
"Mewtwo": 0.59724
},
"arbok": {},
"arcanine": {},
"articuno": {
"Mewtwo": 0.7018899999999999
},
"beedrill": {},
"blastoise": {},
"bulbasaur": {},
"butterfree": {},
"caterpie": {},
"chansey": {
"Mew": 0.57944
},
"charizard": {
"Mewtwo": 0.77... | gen1/ubers/0/2020-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
"aerodactyl": null,
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},
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},
"beedrill": null,
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"bulbasaur": {},
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"chansey": {
"Mew": null
},
"charizard": {
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"charmander"... | gen1/ou/1500/2025-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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},
"charmander"... | gen1/ou/1500/2020-01 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2018-06 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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},
"charmande... | gen1/ou/1500/2015-11 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2018-04 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2023-11 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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},
"charmander"... | gen1/ou/1500/2017-02 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
{
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"charmande... | gen1/ou/1500/2024-04 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2026-02 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2025-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2025-09 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2016-07 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2022-04 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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},
"charmander"... | gen1/ou/1500/2019-05 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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"charmander"... | gen1/ou/1500/2019-02 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
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},
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"caterpie": null,
"chansey": {
"Mew": null
},
"charizard": {
"Mewtwo": null
},
"charmande... | gen1/ou/1500/2026-04 | hf://datasets/jakegrigsby/metamon-usage-stats@0c2939074d16fcf28bf10d8eacc5c323fba51aaf/checks_data/gen1.tar.gz |
End of preview.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Metamon Usage Stats
Version control for Metamon's Pokémon Showdown usage stat summaries.
Files contain the frequency of Pokémon attributes (items, moves, etc.) brought to real battles by Showdown players over a period of time. This information can be used to predict/generate teams.
Versions:
v0 : Original paper version, which was already quite out of date at the time of publication. Stats were taken across all available data up until that point (2015 - late 2023?)
v1: Breaking format change: stats are now split into individual months by battle format (similar to how they appear in the raw Smogon usage stats). This allows predictions to be made according to the usage stats at the time the battle was played.
v2: Adds June and July 2025
v3: Adds August 2025 - January 2026
v4: Changes format to split stats by player rating
v5: Adds February-April 2026
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