region:us
---
viewer: true
dataset_info:
  features:
  - name: content
    dtype: string
  - name: state
    dtype: string
  - name: apiCompletionModel
    dtype: string
  - name: createdAt
    dtype: timestamp[ns, tz=UTC]
  - name: completionType
    dtype: float64
  - name: apiClassificationModel
    dtype: string
  - name: fixGrammar
    dtype: bool
  - name: shard
    dtype: float64
  - name: parallelCompletions
    dtype: float64
  - name: disabled
    dtype: bool
  - name: brokenGrammar
    dtype: string
  - name: profanityThreshold
    dtype: float64
  - name: tweet
    dtype: bool
  - name: conversationStarters
    list:
    - name: aiTopics
      sequence: string
    - name: broken_grammar
      dtype: string
    - name: classification
      dtype: string
    - name: conversation_starter
      dtype: string
  - name: topics
    sequence: string
  - name: embedding
    sequence: float64
  - name: error
    dtype: string
  - name: developer_message
    dtype: string
  - name: aiTopics
    sequence: string
  - name: tags
    sequence: string
  splits:
  - name: train
    num_bytes: 8891417
    num_examples: 3072
  download_size: 6983130
  dataset_size: 8891417
---
# Dataset Card for "starter2"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Generated by a fine-tuned GPT3 curie model over 2020 and 2022 on 10.000 conversation starters.

Generation pipeline:
- generate 3 conversation starters
- fine-tuned curie classify 0-1
- take top 1

Humans have reviewed and fixed/deleted these conversation starters afterwards