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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 ({'Book-Rating', 'User-ID'}) and 10 missing columns ({'Unnamed: 0.1', 'Unnamed: 0.2', 'description', 'Image-URL-L', 'Year-Of-Publication', 'description_embeddings', 'Book-Title', 'Book-Author', 'image_embeddings', 'Unnamed: 0.3'}).

This happened while the csv dataset builder was generating data using

hf://datasets/egecandrsn/book_recommendation/ratings.csv (at revision 53dfaefd69f11c93e7fb0917054839c8a8cc6da0)

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
              Unnamed: 0: int64
              User-ID: int64
              ISBN: string
              Book-Rating: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 718
              to
              {'Unnamed: 0.3': Value(dtype='int64', id=None), 'Unnamed: 0.2': Value(dtype='int64', id=None), 'Unnamed: 0.1': Value(dtype='int64', id=None), 'Unnamed: 0': Value(dtype='int64', id=None), 'ISBN': Value(dtype='string', id=None), 'Book-Title': Value(dtype='string', id=None), 'Book-Author': Value(dtype='string', id=None), 'Year-Of-Publication': Value(dtype='int64', id=None), 'Image-URL-L': Value(dtype='string', id=None), 'image_embeddings': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'description_embeddings': 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 2 new columns ({'Book-Rating', 'User-ID'}) and 10 missing columns ({'Unnamed: 0.1', 'Unnamed: 0.2', 'description', 'Image-URL-L', 'Year-Of-Publication', 'description_embeddings', 'Book-Title', 'Book-Author', 'image_embeddings', 'Unnamed: 0.3'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/egecandrsn/book_recommendation/ratings.csv (at revision 53dfaefd69f11c93e7fb0917054839c8a8cc6da0)
              
              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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Unnamed: 0.3
int64
Unnamed: 0.2
int64
Unnamed: 0.1
int64
Unnamed: 0
int64
ISBN
string
Book-Title
string
Book-Author
string
Year-Of-Publication
int64
Image-URL-L
string
image_embeddings
string
description
string
description_embeddings
string
0
0
0
0
0002005018
Clara Callan
Richard Bruce Wright
2,001
http://images.amazon.com/images/P/0002005018.01.LZZZZZZZ.jpg
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In a small town in Canada, Clara Callan reluctantly takes leave of her sister, Nora, who is bound for New York. It's a time when the growing threat of fascism in Europe is a constant worry, and people escape from reality through radio and the movies. Meanwhile, the two sisters -- vastly different in personality, yet inextricably linked by a shared past -- try to find their places within the complex web of social expectations for young women in the 1930s. While Nora embarks on a glamorous career as a radio-soap opera star, Clara, a strong and independent-minded woman, struggles to observe the traditional boundaries of a small and tight-knit community without relinquishing her dreams of love, freedom, and adventure. However, things aren't as simple as they appear -- Nora's letters eventually reveal life in the big city is less exotic than it seems, and the tranquil solitude of Clara's life is shattered by a series of unforeseeable events. These twists of fate require all of Clara's courage and strength, and finally put the seemingly unbreakable bond between the sisters to the test.
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0374157065
Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It
Gina Bari Kolata
1,999
http://images.amazon.com/images/P/0374157065.01.LZZZZZZZ.jpg
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The fascinating, true story of the world's deadliest disease. In 1918, the Great Flu Epidemic felled the young and healthy virtually overnight. An estimated forty million people died as the epidemic raged. Children were left orphaned and families were devastated. As many American soldiers were killed by the 1918 flu as were killed in battle during World War I. And no area of the globe was safe. Eskimos living in remote outposts in the frozen tundra were sickened and killed by the flu in such numbers that entire villages were wiped out. Scientists have recently rediscovered shards of the flu virus frozen in Alaska and preserved in scraps of tissue in a government warehouse. Gina Kolata, an acclaimed reporter for The New York Times, unravels the mystery of this lethal virus with the high drama of a great adventure story. Delving into the history of the flu and previous epidemics, detailing the science and the latest understanding of this mortal disease, Kolata addresses the prospects for a great epidemic recurring, and, most important, what can be done to prevent it.
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080410753X
The Kitchen God's Wife
Amy Tan
1,991
http://images.amazon.com/images/P/0399135782.01.LZZZZZZZ.jpg
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"Remarkable...mesmerizing...compelling.... An entire world unfolds in Tolstoyan tide of event and detail....Give yourself over to the world Ms. Tan creates for you." —The New York Times Book Review Winnie and Helen have kept each other's worst secrets for more than fifty years. Now, because she believes she is dying, Helen wants to expose everything. And Winnie angrily determines that she must be the one to tell her daughter, Pearl, about the past—including the terrible truth even Helen does not know. And so begins Winnie's story of her life on a small island outside Shanghai in the 1920s, and other places in China during World War II, and traces the happy and desperate events that led to Winnie's coming to America in 1949. The Kitchen God's Wife is "a beautiful book" (Los Angeles Times) from the author of bestselling novels like The Joy Luck Club and The Valley of Amazement, and the memoir, Where the Past Begins.
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3
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0452261368
Beloved (Plume Contemporary Fiction)
Toni Morrison
1,994
http://images.amazon.com/images/P/0452264464.01.LZZZZZZZ.jpg
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Sethe. Proud and beautiful, she escaped from slavery but is haunted by its heritage - from the fires of the flesh to the heartbreaking challenges to the spirit.
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0609804618
Our Dumb Century: The Onion Presents 100 Years of Headlines from America's Finest News Source
The Onion
1,999
http://images.amazon.com/images/P/0609804618.01.LZZZZZZZ.jpg
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The staff of The Onion presents a satirical collection of mock headlines and news stories, including an account of the Pentagon's development of an A-bomb-resistant desk for schoolchildren
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5
5
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0971880107
Wild Animus
Rich Shapero
2,004
http://images.amazon.com/images/P/0971880107.01.LZZZZZZZ.jpg
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How far would you go to find yourself? Wild Animus tracks the reckless quest of Ransom Altman, a young Berkeley graduate who—roused by his literary heroes and love for his girlfriend, Lindy—resolves to live in a new world of “inexhaustible desire.” Ransom’s deepening identification with the wild mountain ram, whose passion and wisdom he seeks, drives the young lovers north—first to Seattle, then to the remote Alaskan wilderness. Alone on the unforgiving ridges of Mt. Wrangell, his imagination increasingly unhinged, Ransom begins to devise and act out a dangerous animal mythos, which he documents in a first-person manuscript, and in songs or “chants” that detail his transformation and pursuit by a pack of strangely familiar wolves. The feverish hunt leads from the wilds to civilization and back again. And when the lovers return to brave the perilous mountain together, the truth behind Ransom’s imagined transformation emerges. What they discover in those frozen heights threatens their love as well as their sanity and their lives. Is Ransom inspired by a transcendent truth, or prey to a misguided fantasy? As his grip on reality weakens, the reader shares Ransom’s fears, his hopes, and his extraordinary discoveries. Wild Animus, Shapero’s debut novel, is a search for the primordial and a journey to the breaking point. It is a story of love and surrender, of monomania—of striving, at all costs, for a bliss beyond fear.
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6
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0679446486
Airframe
Michael Crichton
1,997
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#1 NEW YORK TIMES BESTSELLER • From the author of Jurassic Park, Timeline, and Sphere comes this extraordinary thriller about airline safety, business intrigue, and a deadly cover-up. “The pacing is fast, the suspense nonstop.”—People Three passengers are dead. Fifty-six are injured. The interior cabin is virtually destroyed. But the pilot manages to land the plane. At a moment when the issue of safety and death in the skies is paramount in the public mind, a lethal midair disaster aboard a commercial twin-jet airliner flying from Hong Kong to Denver triggers a pressured and frantic investigation. Airframe is nonstop reading, full of the extraordinary mixture of super suspense and authentic information on a subject of compelling interest that are the hallmarks of Michael Crichton. “A one-sitting read that will cause a lifetime of white-knuckled nightmares.”—The Philaelphia Inquirer “The ultimate thriller . . . [Crichton’s] stories are always page-turners of the highest order. . . . [Airframe] moves like a firehouse dog chasing a red truck.”—The Denver Post “Dramatically vivid.”—The New York Times
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0679444815
Timeline
MICHAEL CRICHTON
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Chronicles battles, military campaigns, and wars throughout history, from the skirmishes of the first empires of ancient Mesopotamia to the armed conflicts in the Middle East being waged today.
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0375507876
Prague : A Novel
ARTHUR PHILLIPS
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A novel of startling scope and ambition, Prague depicts an intentionally lost Lost Generation as it follows five American expats who come to Budapest in the early 1990s to seek their fortune. They harbor the vague suspicion that their counterparts in Prague have it better, but still they hope to find adventure, inspiration, a gold rush, or history in the making.
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0375706062
Lying Awake
Mark Salzman
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Mark Salzman's Lying Awake is a finely wrought gem that plumbs the depths of one woman's soul, and in so doing raises salient questions about the power-and price-of faith. Sister John's cloistered life of peace and prayer has been electrified by ever more frequent visions of God's radiance, leading her toward a deep religious ecstasy. Her life and writings have become examples of devotion. Yet her visions are accompanied by shattering headaches that compel Sister John to seek medical help. When her doctor tells her an illness may be responsible for her gift, Sister John faces a wrenching choice: to risk her intimate glimpses of the divine in favor of a cure, or to continue her visions with the knowledge that they might be false-and might even cost her her life.
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0061099686
Downtown
Anne Rivers Siddons
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Annotation Downtown is the first history of what was once viewed as the heart of the American city. Urban historian Robert Fogelson gives a riveting account of how downtown--and the way Americans thought about it--changed between 1880 and 1950. Recreating battles over subways and skyscrapers, the introduction of elevated highways and parking bans, and other controversies, this book provides a new and often starling perspective on downtown's rise and fall.
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0345384350
Icebound
Dean R. Koontz
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The arctic night is endless. The fear is numbing. Screams freeze in the throat. Death arrives in shades of white. And cold-blooded murder seems right at home. Conducting a strange and urgent experiment on the Arctic icefield, a team of scientists has planted sixty powerful explosive charges that will detonate at midnight. Before they can withdraw to the safety of their base camp, a shattering tidal wave breaks loose the ice on which they are working. Now they are hopelessly marooned on an iceberg during a violent winter storm. The bombs beneath them are buried irretrievably deep . . . and ticking. And they discover that one of them is an assassin with a mission of his own.
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