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Cannot get the split names for the dataset.
Error code:   SplitsNamesError
Exception:    ImportError
Message:      To be able to use arize-ai/cifar10_quality_drift, you need to install the following dependency: pickle5.
Please install it using 'pip install pickle5' for instance.
Traceback:    Traceback (most recent call last):
                File "/src/workers/splits/src/splits/response.py", line 80, in get_splits_response
                  split_full_names = get_dataset_split_full_names(dataset=dataset, use_auth_token=use_auth_token)
                File "/src/workers/splits/src/splits/response.py", line 39, in get_dataset_split_full_names
                  for config in get_dataset_config_names(path=dataset, use_auth_token=use_auth_token)
                File "/src/workers/splits/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 308, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/workers/splits/.venv/lib/python3.9/site-packages/datasets/load.py", line 1222, in dataset_module_factory
                  raise e1 from None
                File "/src/workers/splits/.venv/lib/python3.9/site-packages/datasets/load.py", line 1193, in dataset_module_factory
                  return HubDatasetModuleFactoryWithScript(
                File "/src/workers/splits/.venv/lib/python3.9/site-packages/datasets/load.py", line 906, in get_module
                  local_imports = _download_additional_modules(
                File "/src/workers/splits/.venv/lib/python3.9/site-packages/datasets/load.py", line 220, in _download_additional_modules
                  raise ImportError(
              ImportError: To be able to use arize-ai/cifar10_quality_drift, you need to install the following dependency: pickle5.
              Please install it using 'pip install pickle5' for instance.

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Dataset Card for reviews_with_drift

Dataset Description

Dataset Summary

This dataset was crafted to be used in our tutorial [Link to the tutorial when ready]. It consists on a large Movie Review Dataset mixed with some reviews from a Hotel Review Dataset. The training/validation set are purely obtained from the Movie Review Dataset while the production set is mixed. Some other features have been added (age, gender, context) as well as a made up timestamp prediction_ts of when the inference took place.

Supported Tasks and Leaderboards

text-classification, sentiment-classification: The dataset is mainly used for text classification: given the text, predict the sentiment (positive or negative).

Languages

Text is mainly written in english.

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

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Citation Information

[More Information Needed]

Contributions

Thanks to @fjcasti1 for adding this dataset.

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