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saibala29
/

Pokedex_Data

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The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'query', 'question'}) and 13 missing columns ({'Speed', 'Type 2', 'Sp. Atk', 'Generation', 'Defense', 'Total', 'Type 1', 'Legendary', 'Sp. Def', 'Name', 'Attack', '#', 'HP'}).

This happened while the csv dataset builder was generating data using

hf://datasets/saibala29/Pokedex_Data/Pokemon_Final_Fixed_Questions_Queries.csv (at revision bc02d53487c4075a47b36dd54459117891cf3049)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              question: string
              query: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 487
              to
              {'#': Value(dtype='int64', id=None), 'Name': Value(dtype='string', id=None), 'Type 1': Value(dtype='string', id=None), 'Type 2': Value(dtype='string', id=None), 'Total': Value(dtype='int64', id=None), 'HP': Value(dtype='int64', id=None), 'Attack': Value(dtype='int64', id=None), 'Defense': Value(dtype='int64', id=None), 'Sp. Atk': Value(dtype='int64', id=None), 'Sp. Def': Value(dtype='int64', id=None), 'Speed': Value(dtype='int64', id=None), 'Generation': Value(dtype='int64', id=None), 'Legendary': Value(dtype='bool', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'query', 'question'}) and 13 missing columns ({'Speed', 'Type 2', 'Sp. Atk', 'Generation', 'Defense', 'Total', 'Type 1', 'Legendary', 'Sp. Def', 'Name', 'Attack', '#', 'HP'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/saibala29/Pokedex_Data/Pokemon_Final_Fixed_Questions_Queries.csv (at revision bc02d53487c4075a47b36dd54459117891cf3049)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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# int64	Name string	Type 1 string	Type 2 string	Total int64	HP int64	Attack int64	Defense int64	Sp. Atk int64	Sp. Def int64	Speed int64	Generation int64	Legendary bool
1	Bulbasaur	Grass	Poison	318	45	49	49	65	65	45	1	false
2	Ivysaur	Grass	Poison	405	60	62	63	80	80	60	1	false
3	Venusaur	Grass	Poison	525	80	82	83	100	100	80	1	false
3	VenusaurMega Venusaur	Grass	Poison	625	80	100	123	122	120	80	1	false
4	Charmander	Fire	null	309	39	52	43	60	50	65	1	false
5	Charmeleon	Fire	null	405	58	64	58	80	65	80	1	false
6	Charizard	Fire	Flying	534	78	84	78	109	85	100	1	false
6	CharizardMega Charizard X	Fire	Dragon	634	78	130	111	130	85	100	1	false
6	CharizardMega Charizard Y	Fire	Flying	634	78	104	78	159	115	100	1	false
7	Squirtle	Water	null	314	44	48	65	50	64	43	1	false
8	Wartortle	Water	null	405	59	63	80	65	80	58	1	false
9	Blastoise	Water	null	530	79	83	100	85	105	78	1	false
9	BlastoiseMega Blastoise	Water	null	630	79	103	120	135	115	78	1	false
10	Caterpie	Bug	null	195	45	30	35	20	20	45	1	false
11	Metapod	Bug	null	205	50	20	55	25	25	30	1	false
12	Butterfree	Bug	Flying	395	60	45	50	90	80	70	1	false
13	Weedle	Bug	Poison	195	40	35	30	20	20	50	1	false
14	Kakuna	Bug	Poison	205	45	25	50	25	25	35	1	false
15	Beedrill	Bug	Poison	395	65	90	40	45	80	75	1	false
15	BeedrillMega Beedrill	Bug	Poison	495	65	150	40	15	80	145	1	false
16	Pidgey	Normal	Flying	251	40	45	40	35	35	56	1	false
17	Pidgeotto	Normal	Flying	349	63	60	55	50	50	71	1	false
18	Pidgeot	Normal	Flying	479	83	80	75	70	70	101	1	false
18	PidgeotMega Pidgeot	Normal	Flying	579	83	80	80	135	80	121	1	false
19	Rattata	Normal	null	253	30	56	35	25	35	72	1	false
20	Raticate	Normal	null	413	55	81	60	50	70	97	1	false
21	Spearow	Normal	Flying	262	40	60	30	31	31	70	1	false
22	Fearow	Normal	Flying	442	65	90	65	61	61	100	1	false
23	Ekans	Poison	null	288	35	60	44	40	54	55	1	false
24	Arbok	Poison	null	438	60	85	69	65	79	80	1	false
25	Pikachu	Electric	null	320	35	55	40	50	50	90	1	false
26	Raichu	Electric	null	485	60	90	55	90	80	110	1	false
27	Sandshrew	Ground	null	300	50	75	85	20	30	40	1	false
28	Sandslash	Ground	null	450	75	100	110	45	55	65	1	false
29	Nidoran♀	Poison	null	275	55	47	52	40	40	41	1	false
30	Nidorina	Poison	null	365	70	62	67	55	55	56	1	false
31	Nidoqueen	Poison	Ground	505	90	92	87	75	85	76	1	false
32	Nidoran♂	Poison	null	273	46	57	40	40	40	50	1	false
33	Nidorino	Poison	null	365	61	72	57	55	55	65	1	false
34	Nidoking	Poison	Ground	505	81	102	77	85	75	85	1	false
35	Clefairy	Fairy	null	323	70	45	48	60	65	35	1	false
36	Clefable	Fairy	null	483	95	70	73	95	90	60	1	false
37	Vulpix	Fire	null	299	38	41	40	50	65	65	1	false
38	Ninetales	Fire	null	505	73	76	75	81	100	100	1	false
39	Jigglypuff	Normal	Fairy	270	115	45	20	45	25	20	1	false
40	Wigglytuff	Normal	Fairy	435	140	70	45	85	50	45	1	false
41	Zubat	Poison	Flying	245	40	45	35	30	40	55	1	false
42	Golbat	Poison	Flying	455	75	80	70	65	75	90	1	false
43	Oddish	Grass	Poison	320	45	50	55	75	65	30	1	false
44	Gloom	Grass	Poison	395	60	65	70	85	75	40	1	false
45	Vileplume	Grass	Poison	490	75	80	85	110	90	50	1	false
46	Paras	Bug	Grass	285	35	70	55	45	55	25	1	false
47	Parasect	Bug	Grass	405	60	95	80	60	80	30	1	false
48	Venonat	Bug	Poison	305	60	55	50	40	55	45	1	false
49	Venomoth	Bug	Poison	450	70	65	60	90	75	90	1	false
50	Diglett	Ground	null	265	10	55	25	35	45	95	1	false
51	Dugtrio	Ground	null	405	35	80	50	50	70	120	1	false
52	Meowth	Normal	null	290	40	45	35	40	40	90	1	false
53	Persian	Normal	null	440	65	70	60	65	65	115	1	false
54	Psyduck	Water	null	320	50	52	48	65	50	55	1	false
55	Golduck	Water	null	500	80	82	78	95	80	85	1	false
56	Mankey	Fighting	null	305	40	80	35	35	45	70	1	false
57	Primeape	Fighting	null	455	65	105	60	60	70	95	1	false
58	Growlithe	Fire	null	350	55	70	45	70	50	60	1	false
59	Arcanine	Fire	null	555	90	110	80	100	80	95	1	false
60	Poliwag	Water	null	300	40	50	40	40	40	90	1	false
61	Poliwhirl	Water	null	385	65	65	65	50	50	90	1	false
62	Poliwrath	Water	Fighting	510	90	95	95	70	90	70	1	false
63	Abra	Psychic	null	310	25	20	15	105	55	90	1	false
64	Kadabra	Psychic	null	400	40	35	30	120	70	105	1	false
65	Alakazam	Psychic	null	500	55	50	45	135	95	120	1	false
65	AlakazamMega Alakazam	Psychic	null	590	55	50	65	175	95	150	1	false
66	Machop	Fighting	null	305	70	80	50	35	35	35	1	false
67	Machoke	Fighting	null	405	80	100	70	50	60	45	1	false
68	Machamp	Fighting	null	505	90	130	80	65	85	55	1	false
69	Bellsprout	Grass	Poison	300	50	75	35	70	30	40	1	false
70	Weepinbell	Grass	Poison	390	65	90	50	85	45	55	1	false
71	Victreebel	Grass	Poison	490	80	105	65	100	70	70	1	false
72	Tentacool	Water	Poison	335	40	40	35	50	100	70	1	false
73	Tentacruel	Water	Poison	515	80	70	65	80	120	100	1	false
74	Geodude	Rock	Ground	300	40	80	100	30	30	20	1	false
75	Graveler	Rock	Ground	390	55	95	115	45	45	35	1	false
76	Golem	Rock	Ground	495	80	120	130	55	65	45	1	false
77	Ponyta	Fire	null	410	50	85	55	65	65	90	1	false
78	Rapidash	Fire	null	500	65	100	70	80	80	105	1	false
79	Slowpoke	Water	Psychic	315	90	65	65	40	40	15	1	false
80	Slowbro	Water	Psychic	490	95	75	110	100	80	30	1	false
80	SlowbroMega Slowbro	Water	Psychic	590	95	75	180	130	80	30	1	false
81	Magnemite	Electric	Steel	325	25	35	70	95	55	45	1	false
82	Magneton	Electric	Steel	465	50	60	95	120	70	70	1	false
83	Farfetch'd	Normal	Flying	352	52	65	55	58	62	60	1	false
84	Doduo	Normal	Flying	310	35	85	45	35	35	75	1	false
85	Dodrio	Normal	Flying	460	60	110	70	60	60	100	1	false
86	Seel	Water	null	325	65	45	55	45	70	45	1	false
87	Dewgong	Water	Ice	475	90	70	80	70	95	70	1	false
88	Grimer	Poison	null	325	80	80	50	40	50	25	1	false
89	Muk	Poison	null	500	105	105	75	65	100	50	1	false
90	Shellder	Water	null	305	30	65	100	45	25	40	1	false
91	Cloyster	Water	Ice	525	50	95	180	85	45	70	1	false
92	Gastly	Ghost	Poison	310	30	35	30	100	35	80	1	false

End of preview.