Datasets:
kannada_news

Tasks:

Text Classification

Sub-tasks: topic-classification

Languages: Kannada

Multilinguality: monolingual

Size Categories: 1K<n<10K

Language Creators: other

Annotations Creators: other

Source Datasets: original

License:

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The dataset viewer is not available for this split.

The info cannot be fetched for the config 'default' of the dataset.

Error code:   InfoError
Exception:    HfHubHTTPError
Message:      500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/kannada_news (Request ID: Root=1-65c03183-335aa8b23f70500b21887e2e;abe08c7e-de06-4501-99c7-192096916913)

Internal Error - We're working hard to fix this as soon as possible!
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py", line 105, in compute_first_rows_response
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 477, in get_dataset_config_info
                  builder = load_dataset_builder(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 2195, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1846, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1791, in dataset_module_factory
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1765, in dataset_module_factory
                  dataset_info = hf_api.dataset_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2148, in dataset_info
                  hf_raise_for_status(r)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 333, in hf_raise_for_status
                  raise HfHubHTTPError(str(e), response=response) from e
              huggingface_hub.utils._errors.HfHubHTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/kannada_news (Request ID: Root=1-65c03183-335aa8b23f70500b21887e2e;abe08c7e-de06-4501-99c7-192096916913)
              
              Internal Error - We're working hard to fix this as soon as possible!

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Dataset Card for kannada_news dataset

Dataset Summary

The Kannada news dataset contains only the headlines of news article in three categories: Entertainment, Tech, and Sports.

The data set contains around 6300 news article headlines which are collected from Kannada news websites. The data set has been cleaned and contains train and test set using which can be used to benchmark topic classification models in Kannada.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Kannada (kn)

Dataset Structure

Data Instances

The data has two files. A train.csv and valid.csv. An example row of the dataset is as below:

{
  'headline': 'ಫಿಫಾ ವಿಶ್ವಕಪ್ ಫೈನಲ್: ಅತಿರೇಕಕ್ಕೇರಿದ ಸಂಭ್ರಮಾಚರಣೆ; ಅಭಿಮಾನಿಗಳ ಹುಚ್ಚು ವರ್ತನೆಗೆ ವ್ಯಾಪಕ ಖಂಡನೆ',
  'label':'sports'
}

NOTE: The data has very few examples on the technology (class label: 'tech') topic. [More Information Needed]

Data Fields

Data has two fields:

headline: text headline in kannada (string)
label : corresponding class label which the headlines pertains to in english (string)

Data Splits

The dataset is divided into two splits. All the headlines are scraped from news websites on the internet.

	train	validation
Input Sentences	5167	1293

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

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

There are starkingly less amount of data for South Indian languages, especially Kannada, available in digital format which can be used for NLP purposes. Though having roughly 38 million native speakers, it is a little under-represented language and will benefit from active contribution from the community.

This dataset, however, can just help people get exposed to Kannada and help proceed further active participation for enabling continuous progress and development.