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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 4 new columns ({'book', 'user_id', 'rating', 'user'}) and 1 missing columns ({'title'}).
This happened while the csv dataset builder was generating data using
hf://datasets/hqasmei/collaborative-filtering-dataset/filtered_data.csv (at revision 5a7d4e2cc6481ebd711f42b0c0397d1fc3d07a15)
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
rating: double
book_id: int64
user_id: string
user: int64
book: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 811
to
{'book_id': Value(dtype='int64', id=None), 'title': Value(dtype='string', 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 4 new columns ({'book', 'user_id', 'rating', 'user'}) and 1 missing columns ({'title'}).
This happened while the csv dataset builder was generating data using
hf://datasets/hqasmei/collaborative-filtering-dataset/filtered_data.csv (at revision 5a7d4e2cc6481ebd711f42b0c0397d1fc3d07a15)
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)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.
book_id
int64 | title
string |
|---|---|
6,066,819
|
Best Friends Forever
|
54,270
|
Mein Kampf
|
38,568
|
A Quick Bite Argeneau 1
|
38,562
|
A Bite to Remember Argeneau 5
|
175,242
|
Every Dead Thing Charlie Parker 1
|
300,044
|
Knife Edge Noughts Crosses 2
|
18,528,190
|
Men Explain Things to Me
|
3,475,268
|
White Witch Black Curse The Hollows 7
|
19,057
|
I Am the Messenger
|
19,398,490
|
All the Light We Cannot See
|
18,600
|
Touching the Void The True Story of One Mans Miraculous Survival
|
26,889,576
|
The Big Short Inside the Doomsday Machine
|
15,676
|
Strangers
|
29,780,253
|
Born a Crime Stories From a South African Childhood
|
8,369,681
|
Prom and Prejudice
|
14,069
|
Throne of Jade Temeraire 2
|
14,064
|
I Am Legend
|
17,980,013
|
Taunting Destiny The Fae Chronicles 2
|
13,143
|
Pop Goes the Weasel Alex Cross 5
|
17,325,147
|
Left Drowning Left Drowning 1
|
186,074
|
The Name of the Wind The Kingkiller Chronicle 1
|
772,852
|
The Cross and the Switchblade
|
14,975
|
Labyrinth Languedoc 1
|
477,338
|
Blue is for Nightmares Blue is for Nightmares 1
|
22,738,563
|
We Should All Be Feminists
|
659,622
|
Garden of Shadows Dollanganger 5
|
5,338
|
A Christmas Carol and Other Christmas Writings
|
17,950,614
|
UnDivided Unwind 4
|
676,924
|
Betrayed House of Night 2
|
147,844
|
First Riders Call Green Rider 2
|
147,843
|
Green Rider Green Rider 1
|
4,954,833
|
Brooklyn
|
17,730,406
|
Love Thy Neighbour FriendZoned 2
|
1,375,896
|
Queste Septimus Heap 4
|
64,481
|
A Northern Light
|
13,878
|
Prince of the Blood Krondors Sons 1
|
13,872
|
Geek Love
|
191,113
|
Dont Let the Pigeon Drive the Bus
|
191,117
|
Dont Let the Pigeon Stay Up Late
|
59,980
|
Batman Year One
|
6,495,359
|
The Scarpetta Factor Kay Scarpetta 17
|
25,065,629
|
Hunger Makes Me a Modern Girl
|
60,223
|
See Jane Score Chinooks Hockey Team 2
|
60,220
|
Simply Irresistible Chinooks Hockey Team 1
|
8,683,812
|
The Paris Wife
|
14,358
|
A Ring of Endless Light Austin Family 4
|
113,205
|
Heart of a Dog
|
71,870
|
Darkness Be My Friend Tomorrow 4
|
20,881,071
|
The Burning Room Harry Bosch 19 Harry Bosch Universe 26
|
6,936,382
|
Anna and the French Kiss Anna and the French Kiss 1
|
20,499,240
|
Foxglove Summer Peter Grant 5
|
28,815,474
|
The Couple Next Door
|
9,440,448
|
Buried Prey Lucas Davenport 21
|
6,697
|
Little Altars Everywhere
|
20,588,698
|
Not That Kind of Girl A Young Woman Tells You What Shes Learned
|
13,323,842
|
Predestined Existence Trilogy 2
|
6,320,534
|
Under the Dome
|
15,793,074
|
Best Kept Secret The Clifton Chronicles 3
|
639,864
|
Autobiography of a Yogi
|
22,200
|
Count Zero Sprawl 2
|
22,206
|
Lullaby
|
22,205
|
This Lullaby
|
71,332
|
Push
|
73,070
|
It Had to Be You Chicago Stars 1
|
298,230
|
Agnes Grey
|
17,970,255
|
Into the Deep Into the Deep 1
|
6,068,551
|
Shiver The Wolves of Mercy Falls 1
|
8,520,362
|
The Grand Design
|
7,907,803
|
An Object of Beauty
|
17,257,990
|
Fire Inside Chaos 2
|
10,534
|
The Art of War
|
10,538
|
The Life and Times of the Thunderbolt Kid
|
3,432,478
|
The Forest of Hands and Teeth The Forest of Hands and Teeth 1
|
74,532
|
Georges Marvellous Medicine
|
17,125
|
One Day in the Life of Ivan Denisovich
|
3,678,651
|
Bad Girls Dont Die Bad Girls Dont Die 1
|
402,093
|
Shgun Asian Saga 1
|
5,345
|
The Innocent Man Murder and Injustice in a Small Town
|
5,346
|
The Last Juror
|
22,716,194
|
Inside the OBriens
|
1,362
|
The Histories
|
22,463
|
The Origin of Species
|
15,751,404
|
David and Goliath Underdogs Misfits and the Art of Battling Giants
|
775,346
|
The Little Friend
|
8,131,227
|
One of Our Thursdays Is Missing Thursday Next 6
|
538,845
|
Quo Vadis
|
6,953,500
|
Insatiable Insatiable 1
|
7,076,703
|
Survivor
|
7,076,706
|
The Search
|
8,664,353
|
Unbroken A World War II Story of Survival Resilience and Redemption
|
8,044,557
|
All My Friends Are Dead
|
25,251,757
|
You Will Know Me
|
15,733,851
|
You Had Me At Hello
|
6,578,293
|
Dog Days Diary of a Wimpy Kid 4
|
15,719
|
Marvel 1602
|
9,256,414
|
Hereafter Hereafter 1
|
16,204
|
Daisy Miller
|
15,778,138
|
Just for Now Sea Breeze 4
|
349,473
|
Blaze
|
48,002
|
Thief of Time Discworld 26 Death 5
|
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