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https://api.github.com/repos/huggingface/datasets/issues/5379 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5379/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5379/comments | https://api.github.com/repos/huggingface/datasets/issues/5379/events | https://github.com/huggingface/datasets/pull/5379 | 1,504,010,639 | PR_kwDODunzps5F1r2k | 5,379 | feat: depth estimation dataset guide. | {
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} | This PR adds a guide for prepping datasets for depth estimation.
PR to add documentation images is up here: https://huggingface.co/datasets/huggingface/documentation-images/discussions/22 | {
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https://api.github.com/repos/huggingface/datasets/issues/5378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5378/comments | https://api.github.com/repos/huggingface/datasets/issues/5378/events | https://github.com/huggingface/datasets/issues/5378 | 1,503,887,508 | I_kwDODunzps5Zo4CU | 5,378 | The dataset "the_pile", subset "enron_emails" , load_dataset() failure | {
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When run
"datasets.load_dataset("the_pile","enron_emails")" failure
### Steps to reproduce the bug
Run below code in python cli:
>>> import datasets
>>> datasets.load_dataset(... | {
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} | Hey all! Here's a first draft of the PR to add a multiprocessing implementation for `to_tf_dataset()`. It worked in some quick testing for me, but obviously I need to do some much more rigorous testing/benchmarking, and add some proper library tests.
The core idea is that we do everything using `multiprocessing` and... | {
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`streaming_download_manager` seems to disconnect if too many runs access the same underlying dataset 🧐
The code works fine for me if I have ~100 runs in parallel, but disconnects once scaling to 200.
Possibly related:
- https://github.com/huggingface/datasets/pull/3100
- https://github.com/... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Was hoping to find a way to speed up the skipping as I'm running into bottlenecks skipping 100M examples on C4 (it takes 12 hours to skip), but didn't find anything better than this small change :(
Maybe there's a way to directly skip whole shards to speed it up? 🧐 | {
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} | This PR fixes `xpandas_read_excel`:
- Support passing a path string, besides a file-like object
- Support passing `use_auth_token`
- First assumes the host server supports HTTP range requests; only if a ValueError is thrown (Cannot seek streaming HTTP file), then if preserves previous behavior (see [#3355](https://g... | {
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... | null | [] | 2022-12-17T12:35:13Z | 2022-12-20T06:21:41Z | null | CONTRIBUTOR | null | null | null | ### Name
ImageNet-C
### Paper
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
### Data
https://github.com/hendrycks/robustness
### Motivation
It's a known fact that vision models are brittle when they meet with slightly corrupted and perturbed data. This is also corre... | {
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} | To split your dataset across your training nodes, you can use the new [`datasets.distributed.split_dataset_by_node`]:
```python
import os
from datasets.distributed import split_dataset_by_node
ds = split_dataset_by_node(ds, rank=int(os.environ["RANK"]), world_size=int(os.environ["WORLD_SIZE"]))
```
This wor... | {
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https://api.github.com/repos/huggingface/datasets/issues/5367 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5367/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5367/comments | https://api.github.com/repos/huggingface/datasets/issues/5367/events | https://github.com/huggingface/datasets/pull/5367 | 1,499,174,749 | PR_kwDODunzps5FlevK | 5,367 | Fix remove columns from lazy dict | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This was introduced in https://github.com/huggingface/datasets/pull/5252 and causing the transformers CI to break: https://app.circleci.com/pipelines/github/huggingface/transformers/53886/workflows/522faf2e-a053-454c-94f8-a617fde33393/jobs/648597
Basically this code should return a dataset with only one column:
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | fix typing and ExamplesIterable.shard_data_sources | {
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} | Currently images that are provided as ndarrays, but not in `uint8` format are going to loose data. Namely, for example in a depth image where the data is in float32 format, the type-casting to uint8 will basically make the whole image blank.
`PIL.Image.fromarray` [does support mode `F`](https://pillow.readthedocs.io/e... | {
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https://api.github.com/repos/huggingface/datasets/issues/5364 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5364/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5364/comments | https://api.github.com/repos/huggingface/datasets/issues/5364/events | https://github.com/huggingface/datasets/pull/5364 | 1,498,360,628 | PR_kwDODunzps5Fiss1 | 5,364 | Support for writing arrow files directly with BeamWriter | {
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https://api.github.com/repos/huggingface/datasets/issues/5363 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5363/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5363/comments | https://api.github.com/repos/huggingface/datasets/issues/5363/events | https://github.com/huggingface/datasets/issues/5363 | 1,498,171,317 | I_kwDODunzps5ZTEe1 | 5,363 | Dataset.from_generator() crashes on simple example | {
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https://api.github.com/repos/huggingface/datasets/issues/5362 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5362/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5362/comments | https://api.github.com/repos/huggingface/datasets/issues/5362/events | https://github.com/huggingface/datasets/issues/5362 | 1,497,643,744 | I_kwDODunzps5ZRDrg | 5,362 | Run 'GPT-J' failure due to download dataset fail (' ConnectionError: Couldn't reach http://eaidata.bmk.sh/data/enron_emails.jsonl.zst ' ) | {
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Run model "GPT-J" with dataset "the_pile" fail.
The fail out is as below:
Looks like which is due to "http://eaidata.bmk.sh/data/enron_emails.jsonl.zst" unreachable .
### Steps to ... | {
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"g... | [] | open | false | null | [] | null | [] | 2022-12-14T18:13:55Z | 2022-12-15T10:53:28Z | null | NONE | null | null | null | ### Describe the bug
I am trying to do concatenate audios in a dataset e.g. `google/fleurs`.
```python
print(dataset)
# Dataset({
# features: ['path', 'audio'],
# num_rows: 24
# })
def mapper_function(batch):
# to merge every 3 audio
# np.concatnate(audios[i: i+3]) for i in range(i, len(batc... | {
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https://api.github.com/repos/huggingface/datasets/issues/5360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5360/comments | https://api.github.com/repos/huggingface/datasets/issues/5360/events | https://github.com/huggingface/datasets/issues/5360 | 1,496,947,177 | I_kwDODunzps5ZOZnp | 5,360 | IterableDataset returns duplicated data using PyTorch DDP | {
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Introduces no significant logic changes. | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | In https://github.com/huggingface/datasets/pull/5084 we make the torch formatting consistent with the map-style datasets formatting: a torch formatted iterable dataset will yield torch tensors.
The previous behavior of the torch formatting for iterable dataset was simply to make the iterable dataset inherit from `to... | {
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https://api.github.com/repos/huggingface/datasets/issues/5356 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5356/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5356/comments | https://api.github.com/repos/huggingface/datasets/issues/5356/events | https://github.com/huggingface/datasets/pull/5356 | 1,494,961,609 | PR_kwDODunzps5FW-c9 | 5,356 | Clean filesystem and logging docstrings | {
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https://api.github.com/repos/huggingface/datasets/issues/5354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5354/comments | https://api.github.com/repos/huggingface/datasets/issues/5354/events | https://github.com/huggingface/datasets/issues/5354 | 1,492,174,125 | I_kwDODunzps5Y8MUt | 5,354 | Consider using "Sequence" instead of "List" | {
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"default": true... | open | false | null | [] | null | [] | 2022-12-12T15:39:45Z | 2022-12-16T21:02:44Z | null | NONE | null | null | null | ### Feature request
Hi, please consider using `Sequence` type annotation instead of `List` in function arguments such as in [`Dataset.from_parquet()`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L1088). It leads to type checking errors, see below.
**How to reproduce**
```py
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5353 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5353/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5353/comments | https://api.github.com/repos/huggingface/datasets/issues/5353/events | https://github.com/huggingface/datasets/issues/5353 | 1,491,880,500 | I_kwDODunzps5Y7Eo0 | 5,353 | Support remote file systems for `Audio` | {
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Hi there!
It would be super cool if `Audio()`, and potentially other features, could read files from a remote file system.
### Motivation
Large amounts of data is often stored in buckets. `load_from_disk` is able to retrieve data from cloud storage but to my knowledge actually copies the datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/5352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5352/comments | https://api.github.com/repos/huggingface/datasets/issues/5352/events | https://github.com/huggingface/datasets/issues/5352 | 1,490,796,414 | I_kwDODunzps5Y279- | 5,352 | __init__() got an unexpected keyword argument 'input_size' | {
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I try to define a custom configuration with a input_size attribute following the instructions by "Specifying several dataset configurations" in https://huggingface.co/docs/datasets/v1.2.1/add_dataset.html
But when I load the dataset, I got an error "__init__() got an unexpected keyword argument... | {
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https://api.github.com/repos/huggingface/datasets/issues/5351 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5351/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5351/comments | https://api.github.com/repos/huggingface/datasets/issues/5351/events | https://github.com/huggingface/datasets/issues/5351 | 1,490,659,504 | I_kwDODunzps5Y2aiw | 5,351 | Do we need to implement `_prepare_split`? | {
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I'm not sure this is a bug or if it's just missing in the documentation, or i'm not doing something correctly, but I'm subclassing `DatasetBuilder` and getting the following error because on the `DatasetBuilder` class the `_prepare_split` method is abstract (as are the others we are required to im... | {
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https://api.github.com/repos/huggingface/datasets/issues/5350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5350/comments | https://api.github.com/repos/huggingface/datasets/issues/5350/events | https://github.com/huggingface/datasets/pull/5350 | 1,487,559,904 | PR_kwDODunzps5E8y2E | 5,350 | Clean up Loading methods docstrings | {
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https://api.github.com/repos/huggingface/datasets/issues/5348 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5348/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5348/comments | https://api.github.com/repos/huggingface/datasets/issues/5348/events | https://github.com/huggingface/datasets/issues/5348 | 1,486,975,626 | I_kwDODunzps5YoXKK | 5,348 | The data downloaded in the download folder of the cache does not respect `umask` | {
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For a project on a cluster we are several users to share the same cache for the datasets library. And we have a problem with the permissions on the data downloaded in the cache.
Indeed, it seems that the data is downloaded by giving read and write permissions only to the user launching the com... | {
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Since the last survey, a lot has happened: the [diffusers](https://github.com/huggingface/diffusers), [evaluate](https://github.com/huggingface/evaluate) and [skops](https://github.com/skops-dev/skops) libraries were born. `timm` joined the Hugging Face... | {
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https://api.github.com/repos/huggingface/datasets/issues/5345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5345/comments | https://api.github.com/repos/huggingface/datasets/issues/5345/events | https://github.com/huggingface/datasets/issues/5345 | 1,486,555,384 | I_kwDODunzps5Ymwj4 | 5,345 | Wrong dtype for array in audio features | {
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When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets cannot be merged.
### Steps to repro... | {
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https://api.github.com/repos/huggingface/datasets/issues/5342 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5342/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5342/comments | https://api.github.com/repos/huggingface/datasets/issues/5342/events | https://github.com/huggingface/datasets/issues/5342 | 1,485,244,178 | I_kwDODunzps5YhwcS | 5,342 | Emotion dataset cannot be downloaded | {
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The emotion dataset gives a FileNotFoundError. The full error is: `FileNotFoundError: Couldn't find file at https://www.dropbox.com/s/1pzkadrvffbqw6o/train.txt?dl=1`.
It was working yesterday (December 7, 2022), but stopped working today (December 8, 2022).
### Steps to reproduce the bug
... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | After discussions in https://github.com/huggingface/datasets/pull/5335 we should remove this file that is not used anymore. We should update https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts instead. | {
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https://api.github.com/repos/huggingface/datasets/issues/5340 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5340/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5340/comments | https://api.github.com/repos/huggingface/datasets/issues/5340/events | https://github.com/huggingface/datasets/pull/5340 | 1,483,182,158 | PR_kwDODunzps5EtWo3 | 5,340 | Clean up DatasetInfo and Dataset docstrings | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR cleans up the docstrings for `DatasetInfo` and about half of the methods in `Dataset`. | {
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https://api.github.com/repos/huggingface/datasets/issues/5339 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5339/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5339/comments | https://api.github.com/repos/huggingface/datasets/issues/5339/events | https://github.com/huggingface/datasets/pull/5339 | 1,482,817,424 | PR_kwDODunzps5EsC8N | 5,339 | Add Video feature, videofolder, and video-classification task | {
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} | This PR does the following:
- Adds `Video` feature (Resolves #5225 )
- Adds `video-classification` task
- Adds `videofolder` packaged module for easy loading of local video classification datasets
TODO:
- [ ] add tests
- [ ] add docs | {
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https://api.github.com/repos/huggingface/datasets/issues/5338 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5338/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5338/comments | https://api.github.com/repos/huggingface/datasets/issues/5338/events | https://github.com/huggingface/datasets/issues/5338 | 1,482,646,151 | I_kwDODunzps5YX2KH | 5,338 | `map()` stops every 1000 steps | {
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I am passing the following `prepare_dataset` function to `Dataset.map` (code is inspired from [here](https://github.com/huggingface/community-events/blob/main/whisper-fine-tuning-event/run_speech_recognition_seq2seq_streaming.py#L454))
```python3
def prepare_dataset(batch):
# load and res... | {
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https://api.github.com/repos/huggingface/datasets/issues/5337 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5337/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5337/comments | https://api.github.com/repos/huggingface/datasets/issues/5337/events | https://github.com/huggingface/datasets/issues/5337 | 1,481,692,156 | I_kwDODunzps5YUNP8 | 5,337 | Support webdataset format | {
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In particular it would be awesome to be able to load one using `load_dataset` in streaming mode (either from a local directory, or from a dataset o... | {
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~Indeed we're using the typing for optional values as `Union[type, None]` as it's similar to how Python 3.10 handles optional values as `type | None`, instead of using `Optional[type]`.~
~Do we want to start using `Union[type, None]` for type-hinting optional values or just keep on using `Op... | {
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https://api.github.com/repos/huggingface/datasets/issues/5335 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5335/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5335/comments | https://api.github.com/repos/huggingface/datasets/issues/5335/events | https://github.com/huggingface/datasets/pull/5335 | 1,478,890,788 | PR_kwDODunzps5EeHdA | 5,335 | Update tasks.json | {
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* https://github.com/huggingface/datasets/issues/5255#issuecomment-1339107195
Cc: @osanseviero | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As raised by @polinaeterna in #5324, some of the docstrings are a bit of a mess because it has both Markdown and Sphinx syntax. This PR fixes the docstring for `DatasetBuilder`.
I'll start working on cleaning up the rest of the docstrings and removing the old Sphinx syntax (let me know if you prefer one big PR with... | {
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https://api.github.com/repos/huggingface/datasets/issues/5332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5332/comments | https://api.github.com/repos/huggingface/datasets/issues/5332/events | https://github.com/huggingface/datasets/issues/5332 | 1,476,513,072 | I_kwDODunzps5YAc0w | 5,332 | Passing numpy array to ClassLabel names causes ValueError | {
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If a numpy array is passed to the names argument of ClassLabel, creating a dataset with those features causes an error.
### Steps to reproduce the bug
https://colab.research.google.com/drive/1cV_es1PWZiEuus17n-2C-w0KEoEZ68IX
TLDR:
If I define my classes as:
```
my_classes = np.array(['on... | {
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