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Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
metal_precursor: string
organic_linker: string
modulator: string
solvent: string
metal_concentration_mM: double
M_L_ratio: double
temperature_C: double
time_h: double
label: string
record_id: string
source_csv: string
source_line: int64
source_row_id: int64
condition_key: string
cluster_key: string
split: string
split_record_index: int64
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
metal_precursor: string
organic_linker: string
modulator: string
solvent: string
metal_concentration_mM: double
M_L_ratio: double
temperature_C: double
time_h: double
label: string
record_id: string
source_csv: string
source_line: int64
source_row_id: int64
condition_key: string
cluster_key: string
split: string
split_record_index: int64
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')})}
because column names don't match
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 1379, 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 956, 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 1702, 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 1887, 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.
messages list |
|---|
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
[
{
"role": "system",
"content": "Act as an expert in reticular chemistry. You will receive reaction conditions as a JSON object with the fields:\n metal_precursor, organic_linker, modulator, solvent, metal_concentration_mM, M_L_ratio, temperature_C, and time_h.\n Based on these inputs, output exactly o... |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Dataset Preparation for PN/PU Comparative Experiments
Overview Statistics
Inputs:
datasets/csv_before_assembly/processed_positive.csv: 15340 P entriesdatasets/test/PN_holdout.jsonl: 1320 P + 1275 N, used for holdout alignment and training-side exclusion
Outputs:
| Output file | Pool recipe | Labels and sampling | Number of rows |
|---|---|---|---|
datasets/pools/U_native_{1x,10x,50x}.jsonl |
U_r |
Standard U pool | {11293,104932,573594} |
datasets/train/E1234_PU_train_{1x,10x,50x}.jsonl |
P_train + U_r |
Shared input for Elkan–Noto, nnPU, Bagging PU, and uPU; U remains U | {22586,116225,584887} |
Here, P_train=11293. The standard U_r pools contain {1,9.2918,50.7920} * len(P_train) rows, respectively.
Construction Pipeline
Step 1: CSV dedup and preprocessing
Input:
processed_positive.csv: 15340 P entries
Process:
- Filtering based on the 8 required fields
- Required fields: 'metal_precursor', 'organic_linker', 'modulator', 'solvent', and 'time_h'; discard a row if any of these is missing
- At least two of
M_L_ratio,metel_concnertation, andtemperature_cmust be nonempty and parseable
- Exact deduplication
- After trimming the 8 fields, some rows may share the same 'condition_key' while differing in fields outside these 8 fields. Remove these duplicates by retaining the first P row encountered
- 13306 P remain after deduplication
- Balance trim: drop 18 rows to align the count; default trim_seed=123
Output:
P pool: 13288 P
Step 2: Assembly and Development-Set Isolation
Align with the 2595-row holdout, split off the development set, and exclude the development portion from the P and N pools.
Step 2.1: Holdout Exclusion
From a P-only perspective, this step follows the split logic in https://github.com/zzhenglab/MOFinder/blob/main/src/mofinder/training/prepare.py to ensure consistent holdout evaluation across all comparisons.
Directly exclude entries appearing in the PN holdout from the P pool.
Input:
13288 P
datasets/test/PN_holdout.jsonl: 1320 P + 1275 N
Process:
Read datasets/test/PN_holdout.jsonl and exclude its 1320 P entries from the P pool.
Output:
P pool: 11968 P
Step 2.2: Development-Set Split
Input:
11968 P
Process:
Split seed default to 666.
Output:
- PU dev: 598 P
- P pool: 11370 P
Step 2.3: Exclude P-Pool Records That Are Too Similar to the Development Pool
Input:
11370 P
Process:
- Remove training-side records whose conditions/families overlap with the holdout;
- Deduplicate by 'cluster_key'
Output:
P pool: 11293 P
Step 3: Construct Shared Candidate Pools
At the end of Step 2, the P pool and development pool have been determined. However, constructing the PU training dataset also requires U and C pools.
3a: U Pool Construction
- Construct a joint metal-linker pool from the P pool:
- First exclude metal_precursor entries with frequency <3, unparseable entries, or placeholders; retain 718 'organic_linker' and 321 'metal_precursor' entries (follows Park2022 JCIM)
- The overlap between this 718x321 Cartesian combination pool and the metal-linker combinations observed in the 11293-row P pool covers 6589 P (out of 11293), comprising 2836 joint metal-linker combinations
- Set the numbers of L and M selected through stratified sampling according to the target U size
- 1x: the intersection of top100_metal x top400_linker with the 2836 combinations gives 1573 joint metal-linker combinations (covering 4773 out of 11293 P-pool entries); 10x: use all 2836 joint metal-linker combinations; 50x: the union of top100_metal x top400_linker with the 2836 combinations gives 40971 joint metal-linker combinations;
- First holdout U group (10692 entries): top10_metal x top40_linker; second U group (2508 entries): extract observed, complete metal-linker pairs from all P/N records in
datasets/test/PN_holdout.jsonl, deduplicate, and sample uniformly without separating metal from linker
- Construct a joint 6-field pool from the P pool:
- Overall counts: 1173 'modulator', 216 'solvent', 439 'metal_concentration_mM', 568 'M_L_ratio', 74 'temperature_C', and 158 'time_h'
- Define the Cartesian Space: trim the long tail of each field, retaining values corresponding to 95% coverage for each individual field, namely: 793 'modulator', 39 'solvent', 193 'metal_concentration_mM', 273 'M_L_ratio', 23 'temperature_C', and 35 'time_h', giving a combination space of $1.31*10^{12}$ (1311758M)
- Define the 6-field joint space: among the 6-field combinations constructed for the standard joint pool, require 'modulator', 'solvent', 'metal_concentration_mM', 'M_L_ratio', 'temperature_C', and 'time_h' to come together as a complete set from the same P record; there are 7611 such joint 6-field sets
- Training: Set the sampling counts from the Cartesian 6-field space according to the target U size: {1x: 7.2, 10x:37, 50x:14}
- Holdout: All PU experiments share
datasets/test/PU_holdout.jsonl, with a fixed 13200 U. The first group of 10692 U comes from candidates constructed using the Cartesian 6-field space above; the second group of 2508 U comes from PN joint-construction candidates. The current set is a fixed, selected subset: it does not sample a fixed 330 entries per metal-linker pair and does not change with the training-set P-U ratio - Deduplicate the two U groups using the normalized 8 fields and keep them mutually exclusive; exclude complete conditions appearing in known P/N, dev, and the previously trained PU inputs checked in this round, drawing replacements when conflicts occur. Retain the original 1320 P from
datasets/test/PN_holdout.jsonl. The combined holdout contains 1320 P + 13200 U = 14520 entries and is shared by all PU experiments - QC filtering: solvent must not be missing; concentration
(0,10000]mM; M:L(0,100]; temperature[-80,300]°C; time(0,2160]h; modulator may be null (meaning unknown/not reported) - Multiple reports do not increase the sampling weight;
- 8-field U combination pool
- Sample uniformly from the joint 6-field pool
- Sample without replacement within the same metal-linker combination; reuse is allowed across different combinations
- Prioritize sampling majority metal-linker tuples; if a blacklisted combination is drawn, continue drawing replacements
U pool global random seed default to 1234.
3b: C Pool Construction
Summary
At the end of Step 3, the shared pools are as follows:
| Shared pool file | Number of rows / label | Starting point and construction method | Downstream users |
|---|---|---|---|
| P_train | 11293 / P | E1-E4, M1-M2 | Shared P set for all training datasets; P source for global/local candidates |
| U | ~{1,9.2918,50.7920} *11293 / U | from P parent to 1–4 field rejection sampling | E1-E4 |
| C_local | To be implemented in Step 3.2 / U | Not generated by the current workflow | M1-M2 |
| dev | 598 P | The split preserves order and labels | Held out from training for checkpoint selection |
| holdout | 1320 P + 13200 U = 14520 | Read the P portion of datasets/test/PN_holdout.jsonl for training-side exclusion; all PU experiments share the same fixed 13200 U, regardless of the training-set PU ratio |
align with PN holdout |
The size of the constructed $U_{train}$ pool varies with the P-U ratio:
| P-U ratio | P size | U size | metal-linker sampling | 6-field sampling |
|---|---|---|---|---|
| 1x | 11293 | 11293 | top100_metal × top400_linker $\cap$ M-L joint = 1573 | standard 6-field space, per-pair sampling |
| 10x | 11293 | 104932 | M-L joint = 2836 | per-pair sampling |
| 50x | 11293 | 573594 | top100_metal × top400_linker $\cup$ M-L joint = 40971 | max U_master, whitelist hit then resample |
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