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Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't write column 'sample_id': its type in this file is null, because the first 0 values written for it were all None. Set the type of 'sample_id' with features=, or make sure the first batch written contains a value that is not None.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 794, in _write_table
self._check_null_column(field.name, pa_table[field.name])
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 726, in _check_null_column
raise TypeError(
...<3 lines>...
)
TypeError: Couldn't write column 'sample_id': its type in this file is null, because the first 0 values written for it were all None. Set the type of 'sample_id' with features=, or make sure the first batch written contains a value that is not None.
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, 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.
sample_id string | annotator string | overlap int64 |
|---|---|---|
S00001 | annotator_1 | 0 |
S00002 | annotator_2 | 0 |
S00003 | annotator_1 | 0 |
S00004 | annotator_2 | 0 |
S00005 | annotator_1 | 0 |
S00006 | annotator_2 | 0 |
S00007 | annotator_1 | 0 |
S00008 | annotator_2 | 0 |
S00009 | annotator_1 | 0 |
S00010 | annotator_1 | 1 |
S00010 | annotator_2 | 1 |
S00011 | annotator_1 | 1 |
S00011 | annotator_2 | 1 |
S00012 | annotator_2 | 0 |
S00013 | annotator_1 | 1 |
S00013 | annotator_2 | 1 |
S00014 | annotator_1 | 0 |
S00015 | annotator_2 | 0 |
S00016 | annotator_1 | 0 |
S00017 | annotator_2 | 0 |
S00018 | annotator_1 | 0 |
S00019 | annotator_1 | 1 |
S00019 | annotator_2 | 1 |
S00020 | annotator_1 | 1 |
S00020 | annotator_2 | 1 |
S00021 | annotator_1 | 1 |
S00021 | annotator_2 | 1 |
S00022 | annotator_1 | 1 |
S00022 | annotator_2 | 1 |
S00023 | annotator_1 | 1 |
S00023 | annotator_2 | 1 |
S00024 | annotator_2 | 0 |
S00025 | annotator_1 | 0 |
S00026 | annotator_1 | 1 |
S00026 | annotator_2 | 1 |
S00027 | annotator_2 | 0 |
S00028 | annotator_1 | 0 |
S00029 | annotator_2 | 0 |
S00030 | annotator_1 | 1 |
S00030 | annotator_2 | 1 |
S00031 | annotator_1 | 0 |
S00032 | annotator_1 | 1 |
S00032 | annotator_2 | 1 |
S00033 | annotator_1 | 1 |
S00033 | annotator_2 | 1 |
S00034 | annotator_2 | 0 |
S00035 | annotator_1 | 0 |
S00036 | annotator_2 | 0 |
S00037 | annotator_1 | 0 |
S00038 | annotator_2 | 0 |
S00039 | annotator_1 | 0 |
S00040 | annotator_1 | 1 |
S00040 | annotator_2 | 1 |
S00041 | annotator_2 | 0 |
S00042 | annotator_1 | 0 |
S00043 | annotator_1 | 1 |
S00043 | annotator_2 | 1 |
S00044 | annotator_2 | 0 |
S00045 | annotator_1 | 0 |
S00046 | annotator_2 | 0 |
S00047 | annotator_1 | 0 |
S00048 | annotator_1 | 1 |
S00048 | annotator_2 | 1 |
S00049 | annotator_1 | 1 |
S00049 | annotator_2 | 1 |
S00050 | annotator_1 | 1 |
S00050 | annotator_2 | 1 |
S00051 | annotator_2 | 0 |
S00052 | annotator_1 | 0 |
S00053 | annotator_1 | 1 |
S00053 | annotator_2 | 1 |
S00054 | annotator_2 | 0 |
S00055 | annotator_1 | 1 |
S00055 | annotator_2 | 1 |
S00056 | annotator_1 | 0 |
S00057 | annotator_2 | 0 |
S00058 | annotator_1 | 0 |
S00059 | annotator_2 | 0 |
S00060 | annotator_1 | 0 |
S00061 | annotator_2 | 0 |
S00062 | annotator_1 | 0 |
S00063 | annotator_2 | 0 |
S00064 | annotator_1 | 1 |
S00064 | annotator_2 | 1 |
S00065 | annotator_1 | 0 |
S00066 | annotator_1 | 1 |
S00066 | annotator_2 | 1 |
S00067 | annotator_2 | 0 |
S00068 | annotator_1 | 0 |
S00069 | annotator_1 | 1 |
S00069 | annotator_2 | 1 |
S00070 | annotator_2 | 0 |
S00071 | annotator_1 | 0 |
S00072 | annotator_2 | 0 |
S00073 | annotator_1 | 0 |
S00074 | annotator_1 | 1 |
S00074 | annotator_2 | 1 |
S00075 | annotator_2 | 0 |
S00076 | annotator_1 | 0 |
S00077 | annotator_1 | 1 |
PharoTaskMiner results snapshot
Latest snapshot: snapshot-20261009-152235 (2026-10-09T15:22:35+00:00), tool version 0.1.0 (code 853f1e1fa382b56e).
| Repositories discovered | 19894 (confirmed_pharo: 6048, non_pharo: 4695, probable_pharo: 869, uncertain: 8282) |
| Repositories analysed | 47 |
| Methods parsed | 75394 |
| Operation labels | rule_based: 148149 |
| Files / size | 89 files, 1.38 GB |
Use it. With the PharoTaskMiner code, ./1-mining.sh downloads this snapshot automatically
when there are no local results (instead of mining GitHub again). Manually:
pharo-miner snapshot pull (latest) or pharo-miner snapshot pull --revision snapshot-20261009-152235.
Contents. snapshot/manifest.json lists every file with its sha256. snapshot/database/ is the
SQLite evidence database (repositories, methods, message sends, labels, annotations, run provenance);
snapshot/data/ parsed methods and discovery data; snapshot/validation/ the annotation sample, human
and LLM annotations (validation/llm/: every model answer, prompts, agreement); snapshot/output/
tables, reports, figures and logs; snapshot/archives/ raw GitHub API responses and repository metadata.
Notes. Method source code and README text come from public GitHub repositories and remain under
their authors' licenses. E-mail addresses in raw GitHub API responses were replaced by <redacted>.
Operation labels with source llm_adjudicated were produced by language models and are not
human-validated; rule_based labels are automatic.
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