Error when running a text classification task

🤗AutoTrain
1

Hello,

I am running a simple text classification task in three classes. My dataset has the correct format for this task: two columns (text, target). Both are containing string format data. My dataset seems to be valid and I already performed this task few weeks ago and every thing was working well.

Now I get this error:

File “/app/env/lib/python3.10/site-packages/autotrain/preprocessor/text.py”, line 83, in prepare
train_df[:, “autotrain_label”] = train_df[“autotrain_label”].astype(str)
File “/app/env/lib/python3.10/site-packages/pandas/core/frame.py”, line 4311, in setitem
self._set_item(key, value)
File “/app/env/lib/python3.10/site-packages/pandas/core/frame.py”, line 4527, in _set_item
key in self.columns
File “/app/env/lib/python3.10/site-packages/pandas/core/indexes/base.py”, line 5358, in contains
hash(key)
TypeError: unhashable type: ‘slice’

I feed the Auto Train with a .csv file. I tried several times several days and all I get is this error. The data is like below:

text,target
Global Stocks and Commodities Rally on First Trading Day of 2010,positive
Dollar Slumps Amid Worldwide Manufacturing Improvement,indecisive
…,…

Thank your very much for any help!

2

looks like your csv is not formatted properly. you can either format it properly (using pandas) or use jsonl format too.

3

Thanks for your answer. I follow exactly the guidelines provided here https://huggingface.co/docs/autotrain/text_classification#columns.

My dataset is containing two columns: text and target. Both are string type.

It already worked few weeks ago with the exact same dataset. Can it be a huggingface library new version error?

1 Like
4

To provide more insights about the situation. When using the autotrain-advanced library the fine-tuning runs correctly. When using the web interface I get this error. It seems that it comes from a recent update on the huggingface’s side.

5

can you share the dataset on autotrain@hf.co?

6

I just sent it.

7

Same error, I even published it a few days ago, some lib in the container seems to have broken the slice.

8

fixed in v0.7.57+

9

Where are the images from previous versions if I want to use them?

10

I think you can directly specify the pip image your want.