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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
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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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