Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column(/_source/avg_rating) changed from number to string in row 139
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1403, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
              ValueError: Trailing data
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, 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 3339, 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 2096, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2300, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/_source/avg_rating) changed from number to string in row 139

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.

Bookologia Indices Dataset

Bookologia is a specialized search engine of books, to find any book within seconds.
This dataset contains three Elasticsearch indices extracted from Bookologia database: authors_data, book_links, and books_data_bis.
Each index stores structured metadata relevant to authors, books, and associated resources.
This dump is suitable for tasks involving metadata analysis, author-book linking, recommendation systems, or search enhancement.
More about the project here: https://github.com/blankresearch/Bookologia


1. authors_data

Contains author profiles with information such as biographical details, ratings, genres, and influences.

Field Type Description
author_id long Unique identifier for the author
name text Author’s name
about text Biography or description
birth_date text Birth date (text format)
death_date text Death date (if applicable)
genres text Associated genres
influences text Influences on the author
avg_rating float Average rating of the author’s works
ratings_count text Number of ratings received
reviews_count text Number of reviews received
author_image text URL or path to author image
createdAt date Record creation timestamp
updatedAt date Last update timestamp
userRating integer User’s rating (default 0 if null)

2. book_links

Stores URLs and metadata for book editions, indicating availability of PDF versions.

Field Type Description
book_id keyword Unique book identifier
edition_unique_id keyword Unique edition identifier
links nested List of links with URL and PDF flag
└─ url keyword URL to the resource
└─ is_pdf boolean Whether the URL points to a PDF
update_date date Last update timestamp

3. books_data_bis

Comprehensive book metadata including identifiers, descriptions, awards, publication info, and ratings.

Field Type Description
book_id text Unique book identifier
asin text Amazon Standard Identification Number
author_id text Associated author identifier
title text Book title
titlecomplete text Full title, possibly including subtitles
description text Book description
genres text Book genres
awards object Award details: name, category, awardedAt timestamp
characters text Key characters in the book
isbn13 text ISBN-13 number
isbn_10 text ISBN-10 number
language text Language of the book
link text Link to the book’s webpage
num_pages long Number of pages
places text Places relevant to the book
publish_date long Publication date (timestamp or year)
publisher text Publisher name
ratinghistogram text Distribution of ratings
ratings_count long Number of ratings
reviews_count long Number of reviews
series text Series name (if any)
thumbnail_url text URL to book thumbnail image
createdAt long Creation timestamp
updatedAt long Last update timestamp
userRating long User rating

Notes

  • Dates in text fields may have varied formats; use appropriate parsing methods.
  • Some fields like ratings and reviews in authors_data are stored as text, not numeric, so cast carefully.
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