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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError Exception: UnicodeDecodeError Message: 'utf-8' codec can't decode byte 0xd5 in position 1439: invalid continuation byte Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 233, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2998, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1918, in _head return _examples_to_batch(list(self.take(n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1576, in __iter__ for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__ for key, pa_table in self.generate_tables_fn(**gen_kwags): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 188, in _generate_tables csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper return function(*args, download_config=download_config, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1212, in xpandas_read_csv return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv return _read(filepath_or_buffer, kwds) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 620, in _read parser = TextFileReader(filepath_or_buffer, **kwds) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__ self._engine = self._make_engine(f, self.engine) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine return mapping[engine](f, **self.options) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__ self._reader = parsers.TextReader(src, **kwds) File "parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__ File "parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status File "parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd5 in position 1439: invalid continuation byte
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J.P. Morgan Summer Reading List Dataset 2012-2024 Dataset
A dataset of books recommended in the J.P. Morgan Summer Reading List. The dataset includes information on various titles, authors, genres, ratings, and more, all curated from the official J.P. Morgan Summer Reading List recommendations. For more information, visit JPMorgan Summer Reading List.
How the Data is Compiled
- All information in this dataset has been collected from public sources, including official listings from JPMorgan’s Summer Reading List, Goodreads, book websites, etc. Cells are each derived from one or more sources and then selected/verified using Research by Rummage Labs tools.
- The dataset was compiled to ensure the accuracy and relevance of the information at the time of aggregation, however, independent verification is recommended depending on intended use.
Data Fields
Column | Description |
---|---|
title | The name of the recommended book |
author | The writer or creator of the book |
description | A brief summary of the book's content |
nonfiction or fiction | Indicates whether the book is a factual nonfiction work or a fictional story |
genre | The category or type of literature the book falls into (e.g., mystery, fantasy, biography) |
goodreads_rating | The average user rating from Goodreads, based on reader reviews as of Oct 2024 |
number_of_pages | The total length of the book in printed pages |
audiobook_available | Specifies if the book is available in audiobook format |
audiobook_length | The total listening time if the audiobook is available |
goodreads_url | A direct link to the book’s Goodreads page for more details |
publication_date | The date the book was first published |
jpm_summer_reading_list_year | The year the book was included in the JPMorgan Summer Reading List |
All information was compiled using Rummage Labs. To learn more, visit Rummage Labs.
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