Datasets:

rogerscuall
/

lite-data

dataset_info:
  features:
    - name: text
      dtype: string
    - name: price
      dtype: float64
  splits:
    - name: train
      num_bytes: 20078911
      num_examples: 25000
    - name: test
      num_bytes: 1602936
      num_examples: 2000
  download_size: 10623060
  dataset_size: 21681847
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: mit
task_categories:
  - question-answering
language:
  - en
pretty_name: AMAZON REVIEW UDEMY COURSE
size_categories:
  - 10K<n<100K

Following course "Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI and key theoretical concepts."