size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
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](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)