Datasets:
metadata
dataset_info:
- config_name: finance
features:
- name: domain
dtype: string
- name: post_id
dtype: string
- name: history
dtype: string
- name: title
dtype: string
- name: c_root_id_A
dtype: string
- name: c_root_id_B
dtype: string
- name: created_at_utc_A
dtype: float64
- name: created_at_utc_B
dtype: float64
- 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: overlap_ratio
dtype: float64
- name: seconds_difference
dtype: float64
- name: score_ratio
dtype: float64
- name: len_ratio
dtype: float64
splits:
- name: validation_pref
num_bytes: 106745033
num_examples: 55518
- name: test_pref
num_bytes: 109417097
num_examples: 58603
- name: train_pref
num_bytes: 4167127747
num_examples: 2245068
download_size: 323727636
dataset_size: 4383289877
- config_name: finance_test_prompts
features:
- name: rank
dtype: int64
- name: only_comment
dtype: bool
- name: domain
dtype: string
- name: post_id
dtype: string
- name: title
dtype: string
- name: history
dtype: string
- name: c_root_id
dtype: string
- name: created_at_utc
dtype: float64
- name: score
dtype: int64
- name: human_ref
dtype: string
splits:
- name: test_prompts
num_bytes: 6843041
num_examples: 4929
download_size: 3194622
dataset_size: 6843041
- config_name: gender_sexuality
features:
- name: domain
dtype: string
- name: post_id
dtype: string
- name: history
dtype: string
- name: title
dtype: string
- name: c_root_id_A
dtype: string
- name: c_root_id_B
dtype: string
- name: created_at_utc_A
dtype: float64
- name: created_at_utc_B
dtype: float64
- 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: overlap_ratio
dtype: float64
- name: seconds_difference
dtype: float64
- name: score_ratio
dtype: float64
- name: len_ratio
dtype: float64
splits:
- name: validation_pref
num_bytes: 344495496
num_examples: 200193
- name: test_pref
num_bytes: 314580732
num_examples: 182706
- name: train_pref
num_bytes: 12750359301
num_examples: 7302867
download_size: 1072838873
dataset_size: 13409435529
- config_name: gender_sexuality_test_prompts
features:
- name: rank
dtype: int64
- name: only_comment
dtype: bool
- name: domain
dtype: string
- name: post_id
dtype: string
- name: title
dtype: string
- name: history
dtype: string
- name: c_root_id
dtype: string
- name: created_at_utc
dtype: float64
- name: score
dtype: int64
- name: human_ref
dtype: string
splits:
- name: test_prompts
num_bytes: 24889982
num_examples: 17485
download_size: 11276178
dataset_size: 24889982
- config_name: history
features:
- name: domain
dtype: string
- name: post_id
dtype: string
- name: history
dtype: string
- name: title
dtype: string
- name: c_root_id_A
dtype: string
- name: c_root_id_B
dtype: string
- name: created_at_utc_A
dtype: float64
- name: created_at_utc_B
dtype: float64
- 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: overlap_ratio
dtype: float64
- name: seconds_difference
dtype: float64
- name: score_ratio
dtype: float64
- name: len_ratio
dtype: float64
splits:
- name: validation_pref
num_bytes: 11033885
num_examples: 7255
- name: test_pref
num_bytes: 8347339
num_examples: 5511
- name: train_pref
num_bytes: 470504584
num_examples: 290723
download_size: 48258052
dataset_size: 489885808
- config_name: history_test_prompts
features:
- name: rank
dtype: int64
- name: only_comment
dtype: bool
- name: domain
dtype: string
- name: post_id
dtype: string
- name: title
dtype: string
- name: history
dtype: string
- name: c_root_id
dtype: string
- name: created_at_utc
dtype: float64
- name: score
dtype: int64
- name: human_ref
dtype: string
splits:
- name: test_prompts
num_bytes: 1461426
num_examples: 1027
download_size: 818158
dataset_size: 1461426
- config_name: politics
features:
- name: domain
dtype: string
- name: post_id
dtype: string
- name: history
dtype: string
- name: title
dtype: string
- name: c_root_id_A
dtype: string
- name: c_root_id_B
dtype: string
- name: created_at_utc_A
dtype: float64
- name: created_at_utc_B
dtype: float64
- 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: overlap_ratio
dtype: float64
- name: seconds_difference
dtype: float64
- name: score_ratio
dtype: float64
- name: len_ratio
dtype: float64
splits:
- name: validation_pref
num_bytes: 144623174
num_examples: 83290
- name: test_pref
num_bytes: 162259697
num_examples: 95042
- name: train_pref
num_bytes: 5691098839
num_examples: 3411735
download_size: 453464096
dataset_size: 5997981710
- config_name: politics_test_prompts
features:
- name: rank
dtype: int64
- name: only_comment
dtype: bool
- name: domain
dtype: string
- name: post_id
dtype: string
- name: title
dtype: string
- name: history
dtype: string
- name: c_root_id
dtype: string
- name: created_at_utc
dtype: float64
- name: score
dtype: int64
- name: human_ref
dtype: string
splits:
- name: test_prompts
num_bytes: 9753539
num_examples: 8156
download_size: 4811733
dataset_size: 9753539
- config_name: science
features:
- name: domain
dtype: string
- name: post_id
dtype: string
- name: history
dtype: string
- name: title
dtype: string
- name: c_root_id_A
dtype: string
- name: c_root_id_B
dtype: string
- name: created_at_utc_A
dtype: float64
- name: created_at_utc_B
dtype: float64
- 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: overlap_ratio
dtype: float64
- name: seconds_difference
dtype: float64
- name: score_ratio
dtype: float64
- name: len_ratio
dtype: float64
splits:
- name: validation_pref
num_bytes: 49143432
num_examples: 28225
- name: test_pref
num_bytes: 49485277
num_examples: 28595
- name: train_pref
num_bytes: 1886530811
num_examples: 1092551
download_size: 214600434
dataset_size: 1985159520
- config_name: science_test_prompts
features:
- name: rank
dtype: int64
- name: only_comment
dtype: bool
- name: domain
dtype: string
- name: post_id
dtype: string
- name: title
dtype: string
- name: history
dtype: string
- name: c_root_id
dtype: string
- name: created_at_utc
dtype: float64
- name: score
dtype: int64
- name: human_ref
dtype: string
splits:
- name: test_prompts
num_bytes: 6695945
num_examples: 5495
download_size: 3505358
dataset_size: 6695945
configs:
- config_name: finance
data_files:
- split: validation_pref
path: finance/validation_pref-*
- split: test_pref
path: finance/test_pref-*
- split: train_pref
path: finance/train_pref-*
- config_name: finance_test_prompts
data_files:
- split: test_prompts
path: finance_test_prompts/test_prompts-*
- config_name: gender_sexuality
data_files:
- split: validation_pref
path: gender_sexuality/validation_pref-*
- split: test_pref
path: gender_sexuality/test_pref-*
- split: train_pref
path: gender_sexuality/train_pref-*
- config_name: gender_sexuality_test_prompts
data_files:
- split: test_prompts
path: gender_sexuality_test_prompts/test_prompts-*
- config_name: history
data_files:
- split: validation_pref
path: history/validation_pref-*
- split: test_pref
path: history/test_pref-*
- split: train_pref
path: history/train_pref-*
- config_name: history_test_prompts
data_files:
- split: test_prompts
path: history_test_prompts/test_prompts-*
- config_name: politics
data_files:
- split: validation_pref
path: politics/validation_pref-*
- split: test_pref
path: politics/test_pref-*
- split: train_pref
path: politics/train_pref-*
- config_name: politics_test_prompts
data_files:
- split: test_prompts
path: politics_test_prompts/test_prompts-*
- config_name: science
data_files:
- split: validation_pref
path: science/validation_pref-*
- split: test_pref
path: science/test_pref-*
- split: train_pref
path: science/train_pref-*
- config_name: science_test_prompts
data_files:
- split: test_prompts
path: science_test_prompts/test_prompts-*
license: odc-by
language:
- en
pretty_name: c
Dataset Card for "compred"
Dataset Details
Dataset Description
Conventional algorithms for training language models (LMs) with human feedback rely on preferences that are assumed to account for an average user, disregarding subjectivity and finer-grained variations. Recent studies have raised concerns about aggregating such diverse, often contradictory human feedback to train a single universal reward model, questioning which values or voices the models align with. Finetuning models to maximize such reward results in generic models that produce outputs not preferred by many user groups, as they tend to average out styles and norms. To study this issue, we collect and release ComPRed, a question-answering dataset with community-level preferences from Reddit. This dataset facilitates studying diversity in preferences without incurring privacy concerns associated with individual feedback.
- Curated by: Allen Institute for AI, The Ohio State University, Carnegie Mellon University
- Paper: ArXiv
- Repository: https://github.com/allenai/compred
- Language(s) (NLP): English
- License: https://opendatacommons.org/licenses/by/odc_by_1.0_public_text.txt
- Point of Contact: [Sachin Kumar & Chan Young Park](mailto:[email protected], [email protected])
Uses
ComPreD contains five subsets divided based on factors driving diverging user preferences (we followed a similar process as SHP to create this dataset).
| Subset(s) | Factor |
|---|---|
| politics | Ideologies |
| gender_and_sexuality | Demographics |
| finance, history | Community Norms |
| science | Level of expertise / Community Norms |
Loading
from datasets import load_dataset
# load finance train set
finance_train_pref = load_dataset("allenai/compred", "finance", split="train_pref")
# load finance test prompts
finance_test_prompts = load_dataset("allenai/compred", "finance_test_prompts", split="test_prompts")
Dataset Structure
Coming soon
Data Creation
Please refer to our paper for details on our dataset collection.
Licensing Information
ComPreD is made available under the ODC-BY requiring the user to follow the licenses of the subsequent parts.
Citation
@article{kumar-park2024,
title={{Personalized LMs: Aligning Language Models with Diverse Human Preferences}},
author={Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi},
journal={},
year={2024}
}