shp_with_features / README.md
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---
dataset_info:
features:
- name: post_id
dtype: string
- name: domain
dtype: string
- name: upvote_ratio
dtype: float64
- name: history
dtype: string
- name: c_root_id_A
dtype: string
- name: c_root_id_B
dtype: string
- name: created_at_utc_A
dtype: int64
- name: created_at_utc_B
dtype: int64
- name: score_A
dtype: int64
- name: score_B
dtype: int64
- name: human_ref_A
dtype: string
- name: human_ref_B
dtype: string
- name: labels
dtype: int64
- name: seconds_difference
dtype: float64
- name: score_ratio
dtype: float64
- name: helpfulness_A
dtype: int64
- name: helpfulness_B
dtype: int64
- name: specificity_A
dtype: int64
- name: specificity_B
dtype: int64
- name: intent_A
dtype: int64
- name: intent_B
dtype: int64
- name: factuality_A
dtype: int64
- name: factuality_B
dtype: int64
- name: diffucult-to-understand_A
dtype: int64
- name: diffucult-to-understand_B
dtype: int64
- name: relevance_A
dtype: int64
- name: relevance_B
dtype: int64
- name: readability_A
dtype: int64
- name: readability_B
dtype: int64
- name: enough-detail_A
dtype: int64
- name: enough-detail_B
dtype: int64
- name: biased:_A
dtype: int64
- name: biased:_B
dtype: int64
- name: fail-to-consider-individual-preferences_A
dtype: int64
- name: fail-to-consider-individual-preferences_B
dtype: int64
- name: repetetive_A
dtype: int64
- name: repetetive_B
dtype: int64
- name: fail-to-consider-context_A
dtype: int64
- name: fail-to-consider-context_B
dtype: int64
- name: too-long_A
dtype: int64
- name: too-long_B
dtype: int64
splits:
- name: train
num_bytes: 4307672
num_examples: 2000
download_size: 2468161
dataset_size: 4307672
---
# Dataset Card for "shp_with_features"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)