metadata

dataset_info:
  features:
    - name: id
      dtype: string
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': NEGATIVE
            '1': NEUTRAL
            '2': POSITIVE
  splits:
    - name: train
      num_bytes: 378043
      num_examples: 1572
  download_size: 259617
  dataset_size: 378043
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for "sentiment_labelled_data"

This dataset is manually labelled and validated.
model used for raw prediction : Harvinder6766/news_sentiment_distillbert & then manually reviews and annonated
Now this data will be used to train a model

More Information needed