Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
Dataset Viewer issue: Non matching number of examples
#5
by
albertvillanova
HF staff
- opened
The dataset viewer is not working.
Error details:
[{'expected': SplitInfo(name='train', num_bytes=4219400, num_examples=23410, shard_lengths=None, dataset_name=None), 'recorded': SplitInfo(name='train', num_bytes=735119341, num_examples=23442, shard_lengths=[16500, 6942], dataset_name='cats_vs_dogs')}]
Error code: UnexpectedError
I tried to recreate it locally (also with datasets-cli test), but I always get the expected number of examples 23410:
In [3]: ds
Out[3]:
DatasetDict({
train: Dataset({
features: ['image', 'labels'],
num_rows: 23410
})
})
Any idea, @lhoestq ?
Hmm weird, does it also have the same amount of example in streaming mode ?
(the StreamingDownloadManager is used in some cases to generate the Parquet files without downloading the full dataset in datasets-server)