The dataset viewer is not available for this split.
Error code: InfoError
Exception: ConnectionError
Message: Couldn't reach 'NikitaSirotkin/airline-customer-reviews-v1' on the Hub (LocalEntryNotFoundError)
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1133, in dataset_module_factory
raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
ConnectionError: Couldn't reach 'NikitaSirotkin/airline-customer-reviews-v1' on the Hub (LocalEntryNotFoundError)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
airline_customer_reviews
This dataset contains a collection of customer reviews and feedback specifically regarding various airlines, such as Binter Canarias and Adria Airways. The entries include short textual statements ranging from positive comments about flight comfort to negative complaints about service quality. Each sample represents a direct user opinion or a label indicating the airline being reviewed.
Dataset size
There are 655 data points in this dataset. This is a preference training dataset.
Quality of Remastered Dataset
The final quality is A, with a relative quality improvement of 203.3%.
Domain
- Travel (46%)
- Transportation (20%)
- Corporate-business (16%)
Language
- English (100%)
Tone
- Critical (26%)
- Informative (24%)
- Informal (22%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
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