# Config 'default' not found for dataset

**URL:** <https://discuss.huggingface.co/t/config-default-not-found-for-dataset/49752>\
**Category:** 🤗AutoTrain\
**Created:** [August 7, 2023, 5:51am UTC](https://discuss.huggingface.co/t/config-default-not-found-for-dataset/49752 "2023-08-07T05:51:40Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![hakatashi](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/hakatashi/32/18319_2.png) [@hakatashi](https://discuss.huggingface.co/u/hakatashi)\
**Post date:** [August 7, 2023, 5:51am UTC](https://discuss.huggingface.co/t/config-default-not-found-for-dataset/49752/1 "2023-08-07T05:51:41Z")

</div>

While adding a dataset [hakatashi/hakatashi-pixiv-bookmark-deepdanbooru](https://huggingface.co/datasets/hakatashi/hakatashi-pixiv-bookmark-deepdanbooru) to my project, I encountered the following error.

```auto
Config 'default' not found for dataset 'hakatashi/hakatashi-pixiv-bookmark-deepdanbooru', which has the following configs: ['hakatashi--hakatashi-pixiv-bookmark-deepdanbooru']

```

 ![スクリーンショット 2023-08-07 14.49.12](https://us1.discourse-cdn.com/hellohellohello/original/3X/9/3/933ad12d57ed674d4960dca81c0551de10a341d3.png)

But the dataset definitely has `default` config. [README.md · hakatashi/hakatashi-pixiv-bookmark-deepdanbooru at main](https://huggingface.co/datasets/hakatashi/hakatashi-pixiv-bookmark-deepdanbooru/blob/main/README.md)

```yaml
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
dataset_info:
  features:
  - name: tag_probs
    sequence: float32
  - name: class
    dtype:
      class_label:
        names:
          '0': not_bookmarked
          '1': bookmarked_public
          '2': bookmarked_private
  splits:
  - name: train
    num_bytes: 4301053452
    num_examples: 179121
  - name: test
    num_bytes: 1433684484
    num_examples: 59707
  - name: validation
    num_bytes: 1433708496
    num_examples: 59708
  download_size: 7351682183
  dataset_size: 7168446432
task_categories:
- image-classification
- tabular-classification
tags:
- art
size_categories:
- 100K<n<1M
---

```

What went wrong? I feel like this is a bug.

---

<div class="post-metadata">

**Author:** ![claytonsmith](https://avatars.discourse-cdn.com/v4/letter/c/b38774/32.png) [@claytonsmith](https://discuss.huggingface.co/u/claytonsmith)\
**Post date:** [August 22, 2023, 12:00am UTC](https://discuss.huggingface.co/t/config-default-not-found-for-dataset/49752/2 "2023-08-22T00:00:37Z")

</div>

Where you able to figure it out?

---

<div class="post-metadata">

**Author:** ![sugreev](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/sugreev/32/18820_2.png) [@sugreev](https://discuss.huggingface.co/u/sugreev)\
**Post date:** [August 25, 2023, 9:24am UTC](https://discuss.huggingface.co/t/config-default-not-found-for-dataset/49752/3 "2023-08-25T09:24:46Z")

</div>

Having exactly the same problem! Autotrain wasn’t even able to create my dataset automatically (see post [here](https://discuss.huggingface.co/t/error-type-arrowinvalid-details-failed-to-parse-string-254-254-as-a-scalar-of-type-int32/51323/2)), so I tried making one manually. But now Autotrain won’t correctly load it even though I included a Config YAML block in my readme file?? Seems faster to just manually train with all these Autotrain bugs, especially with such limited docs

 ![Screenshot 2023-08-25 at 11.22.06](https://us1.discourse-cdn.com/hellohellohello/original/3X/3/0/309dc1efeee3f4fd8372e3335205aba7d17869dd.png)

---

<div class="post-metadata">

**Author:** ![abhishek](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/abhishek/32/32360_2.png) [@abhishek](https://discuss.huggingface.co/u/abhishek)\
**Post date:** [August 25, 2023, 9:36am UTC](https://discuss.huggingface.co/t/config-default-not-found-for-dataset/49752/4 "2023-08-25T09:36:22Z")

</div>

You should use the space for training. The UI is deprecating soon and wont be updated. docs are here: [AutoTrain](http://hf.co/docs/autotrain). Use the spaces method.
