Dataset object has no attribute `to_tf_dataset`
I am following HuggingFace Course. I am at Fine-tuning a model.Link:Fine-tuning a pretrained model - Hugging Face CourseI use tokenize_function andmapas mentioned in the course to process data.# define a tokenize functiondef Tokenize_function(example):return tokenizer(example['sentence'], truncation=True)# tokenize entire datatokenized_data = raw_data.map(Tokenize_function, batched=True)I get Dataset object at this point. When I try converting this to a TF dataset object as mentioned in the course, it throws the following error.# convert to TF datasettrain_data = tokenized_data["train"].to_tf_dataset(columns = ['attention_mask', 'input_ids', 'token_type_ids'],label_cols = ['label'],shuffle = True,collate_fn = data_collator,batch_size = 8)Output:---------------------------------------------------------------------------AttributeError                            Traceback (most recent call last)/tmp/ipykernel_42/103099799.py in <module>1 # convert to TF dataset----> 2 train_data = tokenized_data["train"].to_tf_dataset( \3     columns = ['attention_mask', 'input_ids', 'token_type_ids'], \4     label_cols = ['label'], \5     shuffle = True, \AttributeError: 'Dataset' object has no attribute 'to_tf_dataset'When I look fordir(tokenized_data["train"]), there is no method or attribute in the name ofto_tf_dataset.Why do I get this error? And how to clear this?Please help me.
2021-11-20T21:01:47Z
Hey@rajkumarI believe theto_tf_dataset()method was only added in a recent version ofdatasets. Could you try upgrading to the latest version and check if the problem persists?
2021-11-21T06:53:06Z
Hi@lewtun. You are absolutely correct. I upgraded transformers and datasets to the latest versions and the issues are resolved.# upgrade transformers and datasets to latest versions
!pip install --upgrade transformers
!pip install --upgrade datasetsThanks a lot for your timely reply.
2022-02-25T23:45:18Z
Hello am getting the same error, though using the newer version of transformers and datasets:UnexpectedStatusException: Error for Training job sample-huggingface-training-2022-02-25-22-41-34: Failed. Reason: AlgorithmError: ExecuteUserScriptError:ExitCode 1ErrorMessage "AttributeError: ‘Dataset’ object has no attribute ‘to_tf_dataset’"These are the versions am using:sagemaker: 2.77.0transformers: 4.11.0tensorflow: 2.7.1dataset version: 1.18.3How do I resolve this? Thanks
2022-09-30T05:26:56Z
I am having this problem too (‘DatasetDict’ object has no attribute ‘to_tf_dataset’)I have tried the following with no solution:upgrade transformers and datasets to latest versions!pip install --upgrade transformers!pip install --upgrade datasetsI will appreciate any help on how to solve this challenge
2022-12-06T20:07:42Z
I found a solution!Wow! Looks like many are having similar problems because TensorFlowseemsto have difficulty working or integrating with Pandas dataframes to convert totf.data.Datasetformat usingto_tf_dataset(), in general. Therefore I followed this solution from Stack Overflow and it worked! I just had to repeat the same steps that I had been doing with Pandas dataframes and tokenize. TensorFlow needs to get this solved instead of having to use:from datasets import Dataset     
tf_dataset = Dataset.from_pandas(dataframe)Hope this helps~ Happy Automating!Link:nlp - Attribute error: DatasetDict' object has no attribute 'to_tf_dataset' - Stack Overflow
2023-07-08T13:41:52Z
I also faced the similar problem and though@soundaryasundari’s solution helped a little bit, it is not complete. So, I thought I should share mine.First, we need to convert the DatasetDict Object to Pandas DataFrame. For that,dataset.set_format()anddataset.with_format()should work. But unfortunately, they don’t. We need to manually convert them as follows:#Convert the dataset to DataFrame
pd_data = pd.DataFrame(dataset["train"])

#Now, convert it back to the DatasetDict object
from datasets import Dataset
ds_data = Dataset.from_pandas(pd_data)Now, it can be converted to tf.data object.