The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 17 fields in line 7, saw 25
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
compute_first_rows_from_parquet_response(
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
rows_index = indexer.get_rows_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 640, in get_rows_index
return RowsIndex(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__
self.parquet_index = self._init_parquet_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index
response = get_previous_step_or_raise(
File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise
raise CachedArtifactError(
libcommon.simple_cache.CachedArtifactError: The previous step failed.
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 240, 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 2216, 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 1239, 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 1389, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
yield from islice(self.ex_iterable, self.n)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 195, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
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 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 17 fields in line 7, saw 25Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Google WIT Vietnamese
This data repos contain extracted data from Google WIT. The extracted data is all for Vietnamese language.
Given x is a data point in the OG dataset which has keys following OG field_name, the criteria to filter is
criteria = lambda x: x.get("language", "") == "vi" and x.get("caption_reference_description", "")
Text-related details
All .tsv.gz files follow OG data files in terms of file names and file structures.
Train split
wit_v1.train.*.tsv.gz
Train data length of each file (not including the header),
17690
17756
17810
17724
17619
17494
17624
17696
17777
17562
Total 176752
Validation split
wit_v1.val.*.tsv.gz
Val data length of each file (not including the header),
292
273
275
320
306
Total 1466
Test split
wit_v1.test.*.tsv.gz
Test data length of each file (not including the header),
215
202
201
201
229
Total 1048
Image-related details
Image URL only
*.image_url_list.txt are simply lists of image urls from *.tsv.gz files
Image url length of each file (train, val, test, all)
157281
1271
900
159452
Google Research has made sure that all sets don't share same exact images.
Downloaded Images
⚠ Please for the love of the gods, read this section carefully.
For all.index.fmt_id.image_url_list.tsv, from left to right, without headers, the columns are index, fmt_id, image_url. It is to map image_url (in all.image_url_list.txt) to fmt_id. It's for downloading images.
fmt_id is:
- used to name images (with proper image extensions) in
images/. indexbut filled with 6 zeros
Downloading time was less than 36 hours with:
- 90 Mbps
- Processor Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz 1.99 GHz
- No asynchronous
For fail.index.fmt_id.status.image_url_list.tsv, from left to right, without headers, the columns are index, fmt_id, status, image_url. It is to track image urls (during downloading) that are inaccessible.
3367 image urls returned 404 (status values). In other words, we were able to download 97.88839275% of images.
images/ folder takes disk space of:
- 215 GBs (uncompressed)
- 209 GBs (compressed)
We use Pillow to open each image to make sure that downloaded images are usable. We also log all faulty files in corrupted_image_list.json. There are less than 70 image files.
For corrupted_image_list.json, for each item in this list, the keys are file_name, error. file_name is fmt_id with extension but without images/. Some errors are either:
- files exceed Pillow default limit
- files are truncated
To actually load those files, the following code can be used to change Pillow behavior
from PIL import Image, ImageFile
# For very big image files
Image.MAX_IMAGE_PIXELS = None
# For truncated image files
ImageFile.LOAD_TRUNCATED_IMAGES = True
Zip images/ folder,
zip -r images.zip images/
zip images.zip --out spanned_images.zip -s 40g
https://superuser.com/questions/336219/how-do-i-split-a-zip-file-into-multiple-segments
Unzip spanned_images.* files,
zip -s 0 spanned_images.zip --out images.zip
unzip images.zip
https://unix.stackexchange.com/questions/40480/how-to-unzip-a-multipart-spanned-zip-on-linux
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