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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)
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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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