# ClassLabel disappear after loading DatasetDict

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**Category:** Beginners\
**Created:** [February 3, 2024, 11:55am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fclasslabel-disappear-after-loading-datasetdict%2F71706 "2024-02-03T11:55:27Z")\
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**Page:** 1

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**Author:** ![Vyrtok](https://avatars.discourse-cdn.com/v4/letter/v/6bbea6/32.png) [@Vyrtok](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FVyrtok)%5C
**Post date:** [February 3, 2024, 11:55am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fclasslabel-disappear-after-loading-datasetdict%2F71706%2F1 "2024-02-03T11:55:27Z")

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Hello,

I have a DatasetDict containing 10 splits (‘fold\_0’ to ‘fold\_9’). All the Dataset objects included in the DatasetDict contain 2 features: “label” & “text”. Here’s a small overview:

```python
print(my_dataset_dict)
>>> DatasetDict({
        fold_0: Dataset({
            features: ['label', 'text'],
            num_rows: 85087
        })
        fold_1: Dataset({
            features: ['label', 'text'],
            num_rows: 85076
        })
    ....
        fold_9: Dataset({
            features: ['label', 'text'],
            num_rows: 85159
        })
    })

```

For each Dataset, the “label” column was encoded with ClassLabel, and the “text” column is just a bunch of sentences:

```python
print(my_dataset_dict['fold_0'].features)
>>> {'label': ClassLabel(names=['MA211', 'MA221', ..., 'V39'], id=None), 'text': Value(dtype='string', id=None)}

```

So far so good, it’s exactly what I’m expecting.  
However, if I push it to the Hub and then load it again (in another script or in the same one, it doesn’t matter), then the labels disappear.

```python
huggingface_hub.delete_repo(repo_id=dataset_path, repo_type='dataset', missing_ok=True) # Just to be sure the previous DatasetDict is removed first

my_dataset_dict.push_to_hub(dataset_path) # No problem, I see it on the Hub after that (and the real labels appear)

test_dataset_dict = datasets.load_dataset(dataset_path) # Reloading it from the same path

print(test_dataset_dict['fold_0'].features)
>>> {'label': Value(dtype='string', id=None),
     'text': Value(dtype='string', id=None)}

```

As you can see, I don’t have the labels anymore. It’s a problem for me because I need to “cure the data” and create the dataset in a specific notebook, and then load back the data and perform some ML tasks on another notebook, and I’m losing the real labels.  
I tried loading using `test_dataset_dict = datasets.load_dataset(dataset_path, download_mode=datasets.downloadMode.FORCE_REDOWNLOAD)` but it doesn’t change anything. The text and the labels (just the integers) are loaded, but I don’t have the names of the labels. The names of the labels are pushed to the Hub, because I can see them on the viewer under the label column (I see the integer and the associated code right next to it):

 ![Screenshot](https://us1.discourse-cdn.com/hellohellohello/original/3X/c/7/c714650d2cbc79a19fba7ad6cc8017a39ca64590.png)

Thanks for your help!

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<div class="post-metadata">

**Author:** ![Vyrtok](https://avatars.discourse-cdn.com/v4/letter/v/6bbea6/32.png) [@Vyrtok](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FVyrtok)%5C
**Post date:** [February 5, 2024, 7:58am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fclasslabel-disappear-after-loading-datasetdict%2F71706%2F2 "2024-02-05T07:58:08Z")

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Any ideas? 🆙