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: TypeError
Message: Couldn't cast array of type
struct<a_cuantos_estamos_hoy_es.mp3: list<item: int64>, a_la_derecha_de_es.mp3: list<item: int64>, a_la_izquierda_de_es.mp3: list<item: int64>, a_pie_es.mp3: list<item: int64>, a_que_hora_cierran_es.mp3: list<item: int64>, a_que_hora_es.mp3: list<item: int64>, a_que_hora_sale_el_tren_es.mp3: list<item: int64>, a_que_te_dedicas_es.mp3: list<item: int64>, abajo_es.mp3: list<item: int64>, aburrido_es.mp3: list<item: int64>, adios_es.mp3: list<item: int64>, agrio_es.mp3: list<item: int64>, agua_con_gas_o_sin_gas_es.mp3: list<item: int64>, al_lado_de_es.mp3: list<item: int64>, alegre_es.mp3: list<item: int64>, alla_abajo_es.mp3: list<item: int64>, alla_arriba_es.mp3: list<item: int64>, alli_alla_es.mp3: list<item: int64>, alto_es.mp3: list<item: int64>, amable_es.mp3: list<item: int64>, amargo_es.mp3: list<item: int64>, amarillo_es.mp3: list<item: int64>, ancho_es.mp3: list<item: int64>, anciano_es.mp3: list<item: int64>, antiguo_es.mp3: list<item: int64>, antipatico_es.mp3: list<item: int64>, aqui_aca_es.mp3: list<item: int64>, arriba_es.mp3: list<item: int64>, azul_es.mp3: list<item: int64>, bajo_es.mp3: list<item: int64>, barato_es.mp3: list<item: int64>, bien_gracias_y_tu_es.mp3: list<item: int64>, blanco_es.mp3: list<item: int64>, blando_es.mp3: list<item: int64>, bonito_es.mp3: list<item: int64>, buenas_noches_es.mp3: list<item: int64>, buenas_tardes_es.mp3: list<item: int64>, bueno_es.mp3: list<item: int64>, buenos_dias_es.mp3: list<item: int64>, caliente_es.mp3: list<item:
...
>, que_pases_un_buen_dia_es.mp3: list<item: int64>, que_pena_es.mp3: list<item: int64>, que_tal_es.mp3: list<item: int64>, que_te_parece_es.mp3: list<item: int64>, que_va_es.mp3: list<item: int64>, queria_un_cafe_es.mp3: list<item: int64>, quince_es.mp3: list<item: int64>, rapido_es.mp3: list<item: int64>, rojo_es.mp3: list<item: int64>, serio_es.mp3: list<item: int64>, si_claro_es.mp3: list<item: int64>, si_es.mp3: list<item: int64>, siga_todo_recto_es.mp3: list<item: int64>, simpatico_es.mp3: list<item: int64>, sin_duda_es.mp3: list<item: int64>, socorro_es.mp3: list<item: int64>, solo_estoy_mirando_gracias_es.mp3: list<item: int64>, son_las_tres_es.mp3: list<item: int64>, soy_alergico_a_los_frutos_secos_es.mp3: list<item: int64>, soy_de_inglaterra_es.mp3: list<item: int64>, soy_vegetariano_es.mp3: list<item: int64>, tener_barba_es.mp3: list<item: int64>, tiene_algo_mas_barato_es.mp3: list<item: int64>, tiene_una_talla_mas_grande_es.mp3: list<item: int64>, todavia_no_es.mp3: list<item: int64>, totalmente_es.mp3: list<item: int64>, triste_es.mp3: list<item: int64>, tu_es.mp3: list<item: int64>, un_billete_de_ida_y_vuelta_a_sevilla_por_favor_es.mp3: list<item: int64>, una_copa_de_vino_tinto_por_favor_es.mp3: list<item: int64>, una_mesa_para_dos_por_favor_es.mp3: list<item: int64>, vale_es.mp3: list<item: int64>, venga_es.mp3: list<item: int64>, verde_es.mp3: list<item: int64>, viejo_es.mp3: list<item: int64>, vives_aqui_es.mp3: list<item: int64>, yo_es.mp3: list<item: int64>>
to
{'alt_de.mp3': List(Value('int64')), 'alter_de.mp3': List(Value('int64')), 'am_montag_de.mp3': List(Value('int64')), 'am_wochenende_de.mp3': List(Value('int64')), 'anrufen_de.mp3': List(Value('int64')), 'antik_de.mp3': List(Value('int64')), 'auf_jeden_fall_de.mp3': List(Value('int64')), 'auf_keinen_fall_de.mp3': List(Value('int64')), 'auf_wiedersehen_de.mp3': List(Value('int64')), 'bequem_de.mp3': List(Value('int64')), 'beruhmt_de.mp3': List(Value('int64')), 'biegen_sie_links_ab_de.mp3': List(Value('int64')), 'biegen_sie_rechts_ab_de.mp3': List(Value('int64')), 'billig_de.mp3': List(Value('int64')), 'bis_bald_de.mp3': List(Value('int64')), 'bis_spater_de.mp3': List(Value('int64')), 'bitte_de.mp3': List(Value('int64')), 'bitte_schon_de.mp3': List(Value('int64')), 'bitter_de.mp3': List(Value('int64')), 'blau_de.mp3': List(Value('int64')), 'bose_de.mp3': List(Value('int64')), 'braun_de.mp3': List(Value('int64')), 'breit_de.mp3': List(Value('int64')), 'conj_begann_de.mp3': List(Value('int64')), 'conj_begannen_de.mp3': List(Value('int64')), 'conj_begannst_de.mp3': List(Value('int64')), 'conj_begannt_de.mp3': List(Value('int64')), 'conj_beginne_de.mp3': List(Value('int64')), 'conj_beginnen_de.mp3': List(Value('int64')), 'conj_beginnst_de.mp3': List(Value('int64')), 'conj_beginnt_de.mp3': List(Value('int64')), 'conj_bestand_de.mp3': List(Value('int64')), 'conj_bestanden_de.mp3': List(Value('int64')), 'conj_bestandest_de.mp3': List(Value('int64')), 'conj_bestandet_de.mp3': List(Value
...
('int64')), 'wann_schliessen_sie_de.mp3': List(Value('int64')), 'warum_nicht_de.mp3': List(Value('int64')), 'was_denkst_du_de.mp3': List(Value('int64')), 'was_konnen_sie_empfehlen_de.mp3': List(Value('int64')), 'was_kostet_das_de.mp3': List(Value('int64')), 'was_machen_sie_beruflich_de.mp3': List(Value('int64')), 'was_machen_sie_in_ihrer_freizeit_de.mp3': List(Value('int64')), 'weich_de.mp3': List(Value('int64')), 'weihnachten_de.mp3': List(Value('int64')), 'weiss_de.mp3': List(Value('int64')), 'weit_weg_von_de.mp3': List(Value('int64')), 'welcher_tag_ist_heute_de.mp3': List(Value('int64')), 'wellige_haare_de.mp3': List(Value('int64')), 'wie_geht_es_ihnen_de.mp3': List(Value('int64')), 'wie_geht_s_de.mp3': List(Value('int64')), 'wie_heisst_du_de.mp3': List(Value('int64')), 'wie_komme_ich_in_die_innenstadt_de.mp3': List(Value('int64')), 'wie_sagt_man_das_auf_deutsch_de.mp3': List(Value('int64')), 'wie_schade_de.mp3': List(Value('int64')), 'wie_spat_ist_es_de.mp3': List(Value('int64')), 'wie_viel_kostet_das_hier_de.mp3': List(Value('int64')), 'wo_ist_die_bushaltestelle_de.mp3': List(Value('int64')), 'wo_ist_die_nachste_apotheke_de.mp3': List(Value('int64')), 'wo_ist_die_toilette_de.mp3': List(Value('int64')), 'wo_sind_die_umkleidekabinen_de.mp3': List(Value('int64')), 'woher_kommst_du_de.mp3': List(Value('int64')), 'wohnen_sie_hier_de.mp3': List(Value('int64')), 'zehn_de.mp3': List(Value('int64')), 'zu_fuss_de.mp3': List(Value('int64')), 'zwischen_de.mp3': List(Value('int64'))}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 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 2315, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2161, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<a_cuantos_estamos_hoy_es.mp3: list<item: int64>, a_la_derecha_de_es.mp3: list<item: int64>, a_la_izquierda_de_es.mp3: list<item: int64>, a_pie_es.mp3: list<item: int64>, a_que_hora_cierran_es.mp3: list<item: int64>, a_que_hora_es.mp3: list<item: int64>, a_que_hora_sale_el_tren_es.mp3: list<item: int64>, a_que_te_dedicas_es.mp3: list<item: int64>, abajo_es.mp3: list<item: int64>, aburrido_es.mp3: list<item: int64>, adios_es.mp3: list<item: int64>, agrio_es.mp3: list<item: int64>, agua_con_gas_o_sin_gas_es.mp3: list<item: int64>, al_lado_de_es.mp3: list<item: int64>, alegre_es.mp3: list<item: int64>, alla_abajo_es.mp3: list<item: int64>, alla_arriba_es.mp3: list<item: int64>, alli_alla_es.mp3: list<item: int64>, alto_es.mp3: list<item: int64>, amable_es.mp3: list<item: int64>, amargo_es.mp3: list<item: int64>, amarillo_es.mp3: list<item: int64>, ancho_es.mp3: list<item: int64>, anciano_es.mp3: list<item: int64>, antiguo_es.mp3: list<item: int64>, antipatico_es.mp3: list<item: int64>, aqui_aca_es.mp3: list<item: int64>, arriba_es.mp3: list<item: int64>, azul_es.mp3: list<item: int64>, bajo_es.mp3: list<item: int64>, barato_es.mp3: list<item: int64>, bien_gracias_y_tu_es.mp3: list<item: int64>, blanco_es.mp3: list<item: int64>, blando_es.mp3: list<item: int64>, bonito_es.mp3: list<item: int64>, buenas_noches_es.mp3: list<item: int64>, buenas_tardes_es.mp3: list<item: int64>, bueno_es.mp3: list<item: int64>, buenos_dias_es.mp3: list<item: int64>, caliente_es.mp3: list<item:
...
>, que_pases_un_buen_dia_es.mp3: list<item: int64>, que_pena_es.mp3: list<item: int64>, que_tal_es.mp3: list<item: int64>, que_te_parece_es.mp3: list<item: int64>, que_va_es.mp3: list<item: int64>, queria_un_cafe_es.mp3: list<item: int64>, quince_es.mp3: list<item: int64>, rapido_es.mp3: list<item: int64>, rojo_es.mp3: list<item: int64>, serio_es.mp3: list<item: int64>, si_claro_es.mp3: list<item: int64>, si_es.mp3: list<item: int64>, siga_todo_recto_es.mp3: list<item: int64>, simpatico_es.mp3: list<item: int64>, sin_duda_es.mp3: list<item: int64>, socorro_es.mp3: list<item: int64>, solo_estoy_mirando_gracias_es.mp3: list<item: int64>, son_las_tres_es.mp3: list<item: int64>, soy_alergico_a_los_frutos_secos_es.mp3: list<item: int64>, soy_de_inglaterra_es.mp3: list<item: int64>, soy_vegetariano_es.mp3: list<item: int64>, tener_barba_es.mp3: list<item: int64>, tiene_algo_mas_barato_es.mp3: list<item: int64>, tiene_una_talla_mas_grande_es.mp3: list<item: int64>, todavia_no_es.mp3: list<item: int64>, totalmente_es.mp3: list<item: int64>, triste_es.mp3: list<item: int64>, tu_es.mp3: list<item: int64>, un_billete_de_ida_y_vuelta_a_sevilla_por_favor_es.mp3: list<item: int64>, una_copa_de_vino_tinto_por_favor_es.mp3: list<item: int64>, una_mesa_para_dos_por_favor_es.mp3: list<item: int64>, vale_es.mp3: list<item: int64>, venga_es.mp3: list<item: int64>, verde_es.mp3: list<item: int64>, viejo_es.mp3: list<item: int64>, vives_aqui_es.mp3: list<item: int64>, yo_es.mp3: list<item: int64>>
to
{'alt_de.mp3': List(Value('int64')), 'alter_de.mp3': List(Value('int64')), 'am_montag_de.mp3': List(Value('int64')), 'am_wochenende_de.mp3': List(Value('int64')), 'anrufen_de.mp3': List(Value('int64')), 'antik_de.mp3': List(Value('int64')), 'auf_jeden_fall_de.mp3': List(Value('int64')), 'auf_keinen_fall_de.mp3': List(Value('int64')), 'auf_wiedersehen_de.mp3': List(Value('int64')), 'bequem_de.mp3': List(Value('int64')), 'beruhmt_de.mp3': List(Value('int64')), 'biegen_sie_links_ab_de.mp3': List(Value('int64')), 'biegen_sie_rechts_ab_de.mp3': List(Value('int64')), 'billig_de.mp3': List(Value('int64')), 'bis_bald_de.mp3': List(Value('int64')), 'bis_spater_de.mp3': List(Value('int64')), 'bitte_de.mp3': List(Value('int64')), 'bitte_schon_de.mp3': List(Value('int64')), 'bitter_de.mp3': List(Value('int64')), 'blau_de.mp3': List(Value('int64')), 'bose_de.mp3': List(Value('int64')), 'braun_de.mp3': List(Value('int64')), 'breit_de.mp3': List(Value('int64')), 'conj_begann_de.mp3': List(Value('int64')), 'conj_begannen_de.mp3': List(Value('int64')), 'conj_begannst_de.mp3': List(Value('int64')), 'conj_begannt_de.mp3': List(Value('int64')), 'conj_beginne_de.mp3': List(Value('int64')), 'conj_beginnen_de.mp3': List(Value('int64')), 'conj_beginnst_de.mp3': List(Value('int64')), 'conj_beginnt_de.mp3': List(Value('int64')), 'conj_bestand_de.mp3': List(Value('int64')), 'conj_bestanden_de.mp3': List(Value('int64')), 'conj_bestandest_de.mp3': List(Value('int64')), 'conj_bestandet_de.mp3': List(Value
...
('int64')), 'wann_schliessen_sie_de.mp3': List(Value('int64')), 'warum_nicht_de.mp3': List(Value('int64')), 'was_denkst_du_de.mp3': List(Value('int64')), 'was_konnen_sie_empfehlen_de.mp3': List(Value('int64')), 'was_kostet_das_de.mp3': List(Value('int64')), 'was_machen_sie_beruflich_de.mp3': List(Value('int64')), 'was_machen_sie_in_ihrer_freizeit_de.mp3': List(Value('int64')), 'weich_de.mp3': List(Value('int64')), 'weihnachten_de.mp3': List(Value('int64')), 'weiss_de.mp3': List(Value('int64')), 'weit_weg_von_de.mp3': List(Value('int64')), 'welcher_tag_ist_heute_de.mp3': List(Value('int64')), 'wellige_haare_de.mp3': List(Value('int64')), 'wie_geht_es_ihnen_de.mp3': List(Value('int64')), 'wie_geht_s_de.mp3': List(Value('int64')), 'wie_heisst_du_de.mp3': List(Value('int64')), 'wie_komme_ich_in_die_innenstadt_de.mp3': List(Value('int64')), 'wie_sagt_man_das_auf_deutsch_de.mp3': List(Value('int64')), 'wie_schade_de.mp3': List(Value('int64')), 'wie_spat_ist_es_de.mp3': List(Value('int64')), 'wie_viel_kostet_das_hier_de.mp3': List(Value('int64')), 'wo_ist_die_bushaltestelle_de.mp3': List(Value('int64')), 'wo_ist_die_nachste_apotheke_de.mp3': List(Value('int64')), 'wo_ist_die_toilette_de.mp3': List(Value('int64')), 'wo_sind_die_umkleidekabinen_de.mp3': List(Value('int64')), 'woher_kommst_du_de.mp3': List(Value('int64')), 'wohnen_sie_hier_de.mp3': List(Value('int64')), 'zehn_de.mp3': List(Value('int64')), 'zu_fuss_de.mp3': List(Value('int64')), 'zwischen_de.mp3': List(Value('int64'))}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.
The voice clips of Torick's Language Trainer, one pack per language variant, which the
app downloads when the language is chosen. clips_<code>.pack holds the MP3s one after another; clips_<code>.json
gives each clip's offset and length in it.
Voices: Microsoft Azure neural voices (Google Text-to-Speech and Microsoft Edge neural voices in the packs not yet remade); the Belgian Dutch (nl) recordings are
Sophie Ryckmans' own, used with her permission. For use by the app only.
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