region:us
---
dataset_info:
- config_name: annotated
  features:
  - name: article
    dtype: string
  - name: highlights
    dtype: string
  - name: id
    dtype: string
  - name: prediction
    sequence: string
  - name: missing
    sequence: string
  - name: model
    dtype: string
  - name: annotations
    sequence: int64
  - name: num_tokens
    sequence: int64
  - name: num_entities
    sequence: int64
  - name: fusion
    sequence: float64
  - name: entity_density
    sequence: float64
  - name: inverse_lead_bias
    sequence: float64
  - name: extractive_density
    sequence: float64
  - name: extractive_coverage
    sequence: float64
  - name: unique_unigrams
    sequence: float64
  - name: unique_bigrams
    sequence: float64
  - name: unique_trigrams
    sequence: float64
  - name: rouge1
    sequence: float64
  - name: rouge2
    sequence: float64
  - name: rougeL
    sequence: float64
  - name: rougeLsum
    sequence: float64
  - name: gpt4_informative
    sequence: float64
  - name: gpt4_quality
    sequence: float64
  - name: gpt4_attributable
    sequence: float64
  - name: gpt4_coherence
    sequence: float64
  - name: gpt4_overall
    sequence: float64
  splits:
  - name: test
    num_bytes: 750471
    num_examples: 100
  download_size: 452599
  dataset_size: 750471
- config_name: unannotated
  features:
  - name: article
    dtype: string
  - name: highlights
    dtype: string
  - name: id
    dtype: string
  - name: prediction
    sequence: string
  - name: missing
    sequence: string
  - name: model
    dtype: string
  - name: num_tokens
    sequence: int64
  - name: num_entities
    sequence: int64
  - name: fusion
    sequence: float64
  - name: entity_density
    sequence: float64
  - name: inverse_lead_bias
    sequence: float64
  - name: extractive_density
    sequence: float64
  - name: extractive_coverage
    sequence: float64
  - name: unique_unigrams
    sequence: float64
  - name: unique_bigrams
    sequence: float64
  - name: unique_trigrams
    sequence: float64
  - name: rouge1
    sequence: float64
  - name: rouge2
    sequence: float64
  - name: rougeL
    sequence: float64
  - name: rougeLsum
    sequence: float64
  splits:
  - name: train
    num_bytes: 6948744
    num_examples: 1000
  download_size: 3719092
  dataset_size: 6948744
configs:
- config_name: annotated
  data_files:
  - split: test
    path: annotated/test-*
- config_name: unannotated
  data_files:
  - split: train
    path: unannotated/train-*
---
# Dataset Card for "chain_of_density"

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