Datasets:

xq8wvm
/

HypothesisDrivenExperimentPlanningBench

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
model_name: string
k_vector: list<item: double>
  child 0, item: double
species_list: list<item: string>
  child 0, item: string
species_map: struct<P: int64, S: int64, cat: int64, catS: int64, inactive_catI: int64, inhibitor: int64, inactive (... 297 chars omitted)
  child 0, P: int64
  child 1, S: int64
  child 2, cat: int64
  child 3, catS: int64
  child 4, inactive_catI: int64
  child 5, inhibitor: int64
  child 6, inactive_catS: int64
  child 7, inactive_catP: int64
  child 8, inactive_cat2: int64
  child 9, inactive_catSI: int64
  child 10, inactive_catS2: int64
  child 11, inactive_catSP: int64
  child 12, inactive_cat2S2: int64
  child 13, inactive_cat2S: int64
  child 14, inactive_cat: int64
  child 15, cat2: int64
  child 16, (cat)2S: int64
  child 17, X: int64
  child 18, catP: int64
  child 19, cat*: int64
  child 20, cat*S: int64
  child 21, catS2: int64
  child 22, L: int64
reaction_parameter_keys: list<item: string>
  child 0, item: string
config: struct<s0_ref: double, max_t: int64>
  child 0, s0_ref: double
  child 1, max_t: int64
validation_summary: struct<attempts_until_success: int64, num_validation_conditions: int64, required_passes: int64, pass (... 122 chars omitted)
  child 0, attempts_until_success: int64
  child 1, num_validation_conditions: int64
  child 2, required_passes: int64
  child 3, passed_conditions: int64
  child 4, passed_fraction: double
  child 5, best_passed_conditions_before_success: int64
  child 6, used_condition_checker: bool
sampl
...
0, regex: string
              child 4, references: struct<field: struct<@id: string>>
                  child 0, field: struct<@id: string>
                      child 0, @id: string
              child 5, isArray: bool
              child 6, arrayShape: string
              child 7, subField: list<item: struct<@type: string, @id: string, dataType: string, source: struct<fileSet: struct<@id:  (... 80 chars omitted)
                  child 0, item: struct<@type: string, @id: string, dataType: string, source: struct<fileSet: struct<@id: string>, ex (... 68 chars omitted)
                      child 0, @type: string
                      child 1, @id: string
                      child 2, dataType: string
                      child 3, source: struct<fileSet: struct<@id: string>, extract: struct<column: string>, transform: struct<jsonPath: st (... 6 chars omitted)
                          child 0, fileSet: struct<@id: string>
                              child 0, @id: string
                          child 1, extract: struct<column: string>
                              child 0, column: string
                          child 2, transform: struct<jsonPath: string>
                              child 0, jsonPath: string
      child 7, data: list<item: struct<default_splits/split_name: string>>
          child 0, item: struct<default_splits/split_name: string>
              child 0, default_splits/split_name: string
rai:dataLimitations: list<item: string>
  child 0, item: string
to
{'@context': {'@language': Value('string'), '@vocab': Value('string'), 'arrayShape': Value('string'), 'citeAs': Value('string'), 'column': Value('string'), 'conformsTo': Value('string'), 'containedIn': Value('string'), 'cr': Value('string'), 'data': {'@id': Value('string'), '@type': Value('string')}, 'dataBiases': Value('string'), 'dataCollection': Value('string'), 'dataType': {'@id': Value('string'), '@type': Value('string')}, 'dct': Value('string'), 'extract': Value('string'), 'field': Value('string'), 'fileProperty': Value('string'), 'fileObject': Value('string'), 'fileSet': Value('string'), 'format': Value('string'), 'includes': Value('string'), 'isArray': Value('string'), 'isLiveDataset': Value('string'), 'jsonPath': Value('string'), 'key': Value('string'), 'md5': Value('string'), 'parentField': Value('string'), 'path': Value('string'), 'personalSensitiveInformation': Value('string'), 'recordSet': Value('string'), 'references': Value('string'), 'regex': Value('string'), 'repeated': Value('string'), 'replace': Value('string'), 'sc': Value('string'), 'separator': Value('string'), 'source': Value('string'), 'subField': Value('string'), 'transform': Value('string'), 'rai': Value('string'), 'prov': Value('string')}, '@type': Value('string'), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'sha256': Value('string'), 'containedIn': {
...
et': List({'@type': Value('string'), 'dataType': Value('string'), 'key': {'@id': Value('string')}, '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'field': List({'@type': Value('string'), '@id': Value('string'), 'dataType': Value('string'), 'source': {'fileSet': {'@id': Value('string')}, 'extract': {'fileProperty': Value('string'), 'column': Value('string')}, 'transform': {'regex': Value('string')}}, 'references': {'field': {'@id': Value('string')}}, 'isArray': Value('bool'), 'arrayShape': Value('string'), 'subField': List({'@type': Value('string'), '@id': Value('string'), 'dataType': Value('string'), 'source': {'fileSet': {'@id': Value('string')}, 'extract': {'column': Value('string')}, 'transform': {'jsonPath': Value('string')}}})}), 'data': List({'default_splits/split_name': Value('string')})}), 'conformsTo': Value('string'), 'name': Value('string'), 'description': Value('string'), 'alternateName': List(Value('string')), 'creator': {'@type': Value('string'), 'name': Value('string'), 'url': Value('string')}, 'keywords': List(Value('string')), 'license': Value('string'), 'url': Value('string'), 'rai:dataLimitations': List(Value('string')), 'rai:dataBiases': List(Value('string')), 'rai:personalSensitiveInformation': Value('string'), 'rai:dataUseCases': List(Value('string')), 'rai:dataSocialImpact': Value('string'), 'rai:hasSyntheticData': Value('bool'), 'prov:wasDerivedFrom': List(Value('string')), 'prov:wasGeneratedBy': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              model_name: string
              k_vector: list<item: double>
                child 0, item: double
              species_list: list<item: string>
                child 0, item: string
              species_map: struct<P: int64, S: int64, cat: int64, catS: int64, inactive_catI: int64, inhibitor: int64, inactive (... 297 chars omitted)
                child 0, P: int64
                child 1, S: int64
                child 2, cat: int64
                child 3, catS: int64
                child 4, inactive_catI: int64
                child 5, inhibitor: int64
                child 6, inactive_catS: int64
                child 7, inactive_catP: int64
                child 8, inactive_cat2: int64
                child 9, inactive_catSI: int64
                child 10, inactive_catS2: int64
                child 11, inactive_catSP: int64
                child 12, inactive_cat2S2: int64
                child 13, inactive_cat2S: int64
                child 14, inactive_cat: int64
                child 15, cat2: int64
                child 16, (cat)2S: int64
                child 17, X: int64
                child 18, catP: int64
                child 19, cat*: int64
                child 20, cat*S: int64
                child 21, catS2: int64
                child 22, L: int64
              reaction_parameter_keys: list<item: string>
                child 0, item: string
              config: struct<s0_ref: double, max_t: int64>
                child 0, s0_ref: double
                child 1, max_t: int64
              validation_summary: struct<attempts_until_success: int64, num_validation_conditions: int64, required_passes: int64, pass (... 122 chars omitted)
                child 0, attempts_until_success: int64
                child 1, num_validation_conditions: int64
                child 2, required_passes: int64
                child 3, passed_conditions: int64
                child 4, passed_fraction: double
                child 5, best_passed_conditions_before_success: int64
                child 6, used_condition_checker: bool
              sampl
              ...
              0, regex: string
                            child 4, references: struct<field: struct<@id: string>>
                                child 0, field: struct<@id: string>
                                    child 0, @id: string
                            child 5, isArray: bool
                            child 6, arrayShape: string
                            child 7, subField: list<item: struct<@type: string, @id: string, dataType: string, source: struct<fileSet: struct<@id:  (... 80 chars omitted)
                                child 0, item: struct<@type: string, @id: string, dataType: string, source: struct<fileSet: struct<@id: string>, ex (... 68 chars omitted)
                                    child 0, @type: string
                                    child 1, @id: string
                                    child 2, dataType: string
                                    child 3, source: struct<fileSet: struct<@id: string>, extract: struct<column: string>, transform: struct<jsonPath: st (... 6 chars omitted)
                                        child 0, fileSet: struct<@id: string>
                                            child 0, @id: string
                                        child 1, extract: struct<column: string>
                                            child 0, column: string
                                        child 2, transform: struct<jsonPath: string>
                                            child 0, jsonPath: string
                    child 7, data: list<item: struct<default_splits/split_name: string>>
                        child 0, item: struct<default_splits/split_name: string>
                            child 0, default_splits/split_name: string
              rai:dataLimitations: list<item: string>
                child 0, item: string
              to
              {'@context': {'@language': Value('string'), '@vocab': Value('string'), 'arrayShape': Value('string'), 'citeAs': Value('string'), 'column': Value('string'), 'conformsTo': Value('string'), 'containedIn': Value('string'), 'cr': Value('string'), 'data': {'@id': Value('string'), '@type': Value('string')}, 'dataBiases': Value('string'), 'dataCollection': Value('string'), 'dataType': {'@id': Value('string'), '@type': Value('string')}, 'dct': Value('string'), 'extract': Value('string'), 'field': Value('string'), 'fileProperty': Value('string'), 'fileObject': Value('string'), 'fileSet': Value('string'), 'format': Value('string'), 'includes': Value('string'), 'isArray': Value('string'), 'isLiveDataset': Value('string'), 'jsonPath': Value('string'), 'key': Value('string'), 'md5': Value('string'), 'parentField': Value('string'), 'path': Value('string'), 'personalSensitiveInformation': Value('string'), 'recordSet': Value('string'), 'references': Value('string'), 'regex': Value('string'), 'repeated': Value('string'), 'replace': Value('string'), 'sc': Value('string'), 'separator': Value('string'), 'source': Value('string'), 'subField': Value('string'), 'transform': Value('string'), 'rai': Value('string'), 'prov': Value('string')}, '@type': Value('string'), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'sha256': Value('string'), 'containedIn': {
              ...
              et': List({'@type': Value('string'), 'dataType': Value('string'), 'key': {'@id': Value('string')}, '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'field': List({'@type': Value('string'), '@id': Value('string'), 'dataType': Value('string'), 'source': {'fileSet': {'@id': Value('string')}, 'extract': {'fileProperty': Value('string'), 'column': Value('string')}, 'transform': {'regex': Value('string')}}, 'references': {'field': {'@id': Value('string')}}, 'isArray': Value('bool'), 'arrayShape': Value('string'), 'subField': List({'@type': Value('string'), '@id': Value('string'), 'dataType': Value('string'), 'source': {'fileSet': {'@id': Value('string')}, 'extract': {'column': Value('string')}, 'transform': {'jsonPath': Value('string')}}})}), 'data': List({'default_splits/split_name': Value('string')})}), 'conformsTo': Value('string'), 'name': Value('string'), 'description': Value('string'), 'alternateName': List(Value('string')), 'creator': {'@type': Value('string'), 'name': Value('string'), 'url': Value('string')}, 'keywords': List(Value('string')), 'license': Value('string'), 'url': Value('string'), 'rai:dataLimitations': List(Value('string')), 'rai:dataBiases': List(Value('string')), 'rai:personalSensitiveInformation': Value('string'), 'rai:dataUseCases': List(Value('string')), 'rai:dataSocialImpact': Value('string'), 'rai:hasSyntheticData': Value('bool'), 'prov:wasDerivedFrom': List(Value('string')), 'prov:wasGeneratedBy': List(Value('string'))}
              because column names don't match
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
HypothesisDrivenExperimentPlanningBench

This dataset contains 200 synthetic ground-truth samples for benchmarking experimental design in kinetic mechanism identification.
Each record corresponds to one sampled benchmark instance and includes:
model_name: mechanism family identifier (M1 to M20)
k_vector: sampled kinetic constants
species_list: species names used in the mechanism
species_map: mapping from species name to index
reaction_parameter_keys: parameter names associated with the kinetic model
config: generation settings
validation_summary: summary of the benchmark validation procedure
sample_id, sample_index, source_file: bookkeeping fields for traceability
File

HypothesisDrivenExperimentPlanningBench.jsonl: one JSON record per line
Notes

This is a synthetic benchmark dataset generated from predefined kinetic mechanism templates and simulator-based validation.
It is intended for benchmarking and methodology research, not as a direct substitute for real laboratory data.
Source

Hosted dataset: xq8wvm/HypothesisDrivenExperimentPlanningBench
License

This dataset is released under the Creative Commons Attribution 4.0 International license (CC-BY-4.0).
Downloads last month: 21
Total file size:
153 kB