Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
pair_id: string
ts: timestamp[s]
molecula: struct<cid: int64, nombre: string, smiles: string, propiedades: struct<MolecularWeight: string, XLog (... 153 chars omitted)
child 0, cid: int64
child 1, nombre: string
child 2, smiles: string
child 3, propiedades: struct<MolecularWeight: string, XLogP: double, TPSA: double, HBondDonorCount: int64, HBondAcceptorCo (... 72 chars omitted)
child 0, MolecularWeight: string
child 1, XLogP: double
child 2, TPSA: double
child 3, HBondDonorCount: int64
child 4, HBondAcceptorCount: int64
child 5, RotatableBondCount: int64
child 6, ExactMass: string
child 7, Charge: int64
child 4, fuente: string
codigo_neuronal: struct<tipo: string, canales: int64, firing_rates_hz: list<item: double>, burst_canal: int64, stats: (... 83 chars omitted)
child 0, tipo: string
child 1, canales: int64
child 2, firing_rates_hz: list<item: double>
child 0, item: double
child 3, burst_canal: int64
child 4, stats: struct<rate_media_hz: double, cv: double, sincronia_fase: double>
child 0, rate_media_hz: double
child 1, cv: double
child 2, sincronia_fase: double
child 5, simulado: bool
sha256: string
semilla: int64
sha256_lote: string
honestidad: struct<propiedades_moleculares: string, codigo_neuronal: string, no_afirmamos: string>
child 0, propiedades_moleculares: string
child 1, codigo_neuronal: string
child 2, no_afirmamos: string
dataset: string
n_pares: int64
version: string
licencia: string
precio_usdc_por_1000: int64
metricas: struct<n_pares: int64, mw_min: double, mw_max: double, mw_media: double, rate_min_hz: double, rate_m (... 36 chars omitted)
child 0, n_pares: int64
child 1, mw_min: double
child 2, mw_max: double
child 3, mw_media: double
child 4, rate_min_hz: double
child 5, rate_max_hz: double
child 6, smiles_unicos: int64
to
{'dataset': Value('string'), 'version': Value('string'), 'ts': Value('timestamp[s]'), 'n_pares': Value('int64'), 'sha256_lote': Value('string'), 'semilla': Value('int64'), 'honestidad': {'propiedades_moleculares': Value('string'), 'codigo_neuronal': Value('string'), 'no_afirmamos': Value('string')}, 'metricas': {'n_pares': Value('int64'), 'mw_min': Value('float64'), 'mw_max': Value('float64'), 'mw_media': Value('float64'), 'rate_min_hz': Value('float64'), 'rate_max_hz': Value('float64'), 'smiles_unicos': Value('int64')}, 'licencia': Value('string'), 'precio_usdc_por_1000': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
pair_id: string
ts: timestamp[s]
molecula: struct<cid: int64, nombre: string, smiles: string, propiedades: struct<MolecularWeight: string, XLog (... 153 chars omitted)
child 0, cid: int64
child 1, nombre: string
child 2, smiles: string
child 3, propiedades: struct<MolecularWeight: string, XLogP: double, TPSA: double, HBondDonorCount: int64, HBondAcceptorCo (... 72 chars omitted)
child 0, MolecularWeight: string
child 1, XLogP: double
child 2, TPSA: double
child 3, HBondDonorCount: int64
child 4, HBondAcceptorCount: int64
child 5, RotatableBondCount: int64
child 6, ExactMass: string
child 7, Charge: int64
child 4, fuente: string
codigo_neuronal: struct<tipo: string, canales: int64, firing_rates_hz: list<item: double>, burst_canal: int64, stats: (... 83 chars omitted)
child 0, tipo: string
child 1, canales: int64
child 2, firing_rates_hz: list<item: double>
child 0, item: double
child 3, burst_canal: int64
child 4, stats: struct<rate_media_hz: double, cv: double, sincronia_fase: double>
child 0, rate_media_hz: double
child 1, cv: double
child 2, sincronia_fase: double
child 5, simulado: bool
sha256: string
semilla: int64
sha256_lote: string
honestidad: struct<propiedades_moleculares: string, codigo_neuronal: string, no_afirmamos: string>
child 0, propiedades_moleculares: string
child 1, codigo_neuronal: string
child 2, no_afirmamos: string
dataset: string
n_pares: int64
version: string
licencia: string
precio_usdc_por_1000: int64
metricas: struct<n_pares: int64, mw_min: double, mw_max: double, mw_media: double, rate_min_hz: double, rate_m (... 36 chars omitted)
child 0, n_pares: int64
child 1, mw_min: double
child 2, mw_max: double
child 3, mw_media: double
child 4, rate_min_hz: double
child 5, rate_max_hz: double
child 6, smiles_unicos: int64
to
{'dataset': Value('string'), 'version': Value('string'), 'ts': Value('timestamp[s]'), 'n_pares': Value('int64'), 'sha256_lote': Value('string'), 'semilla': Value('int64'), 'honestidad': {'propiedades_moleculares': Value('string'), 'codigo_neuronal': Value('string'), 'no_afirmamos': Value('string')}, 'metricas': {'n_pares': Value('int64'), 'mw_min': Value('float64'), 'mw_max': Value('float64'), 'mw_media': Value('float64'), 'rate_min_hz': Value('float64'), 'rate_max_hz': Value('float64'), 'smiles_unicos': Value('int64')}, 'licencia': Value('string'), 'precio_usdc_por_1000': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Synthora BioQuantum v0.1 — muestra pública (50 pares)
Muestra de 50 pares molecula → codigo neuronal del dataset Synthora BioQuantum v0.1 (800 pares en total), generado por la malla de agentes Synthora (hergertsynthora.com).
Honestidad de datos (declarado)
- Propiedades moleculares: REALES. Obtenidas de PubChem PUG-REST, verificables por CID.
- Codigo neuronal: SIMULADO. Proceso de Poisson condicionado por las propiedades moleculares; cada registro lo declara. No afirmamos precision cuantica ni origen organoide real.
Contenido
muestra_50.jsonl— 50 pares (muestra gratuita, esta repo).manifest.json— metricas del lote completo (n=800), semilla 61548, sha256 del lote.
Cada par: pair_id, molecula (CID PubChem, nombre, SMILES, propiedades), y serie de
codigo neuronal simulada condicionada por esas propiedades.
Dataset completo (800 pares)
El lote completo se vende por llamada via x402 (USDC en Base, eip155:8453):
- Pack: https://api.hergertsynthora.com/v1/bioquantum-dataset
- Precio: 49 USDC por 1000 pares. Pago machine-to-machine, sin cuenta ni API key.
- Agent card: https://api.hergertsynthora.com/.well-known/agent-card.json
Licencia
Muestra bajo CC-BY-4.0 (atribucion: Synthora, hergertsynthora.com). El lote completo se distribuye bajo venta x402.
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