AUTHOR
No models indexed under this account. Publishes 3 alignment datasets (62.9k downloads) tracked in our /datasets catalog.
Alignment datasets by
Datasets this account has published in categories the catalog tracks: extraction pairs, ablation corpora, healing preference sets, evaluation benchmarks, uncensored SFT corpora, and related material. Category badges link to the workflow stage.
Dataset
Stage
Downloads
Likes
HH-RLHF-Helpful-standard 0 0
We process the helpful subset of Anthropic-HH into the standard format. The filtering script is as follows.
def filter_example(example):
...
25.5k
4
HH-RLHF-Harmless-and-RedTeam-standard 0 0
We process the Harmlnessess and Red-Teaming subsets of Anthropic-HH into the standard format. The filtering script is as follows.
def filte...
20.7k
4
Orca-distibalel-standard 0 0
From argilla/distilabel-intel-orca-dpo-pairs. We delete the pairs with the same score.
def process_example(example):
prompt = example['i...
16.8k
1
Dataset
Stage
Downloads
Likes
HH-RLHF-Harmless-and-RedTeam-standard 0 0
We process the Harmlnessess and Red-Teaming subsets of Anthropic-HH into the standard format. The filtering script is as follows.
def filte...
20.7k
4
Orca-distibalel-standard 0 0
From argilla/distilabel-intel-orca-dpo-pairs. We delete the pairs with the same score.
def process_example(example):
prompt = example['i...
16.8k
1
HH-RLHF-Helpful-standard 0 0
We process the helpful subset of Anthropic-HH into the standard format. The filtering script is as follows.
def filter_example(example):
...
25.5k
4
Dataset
Stage
Downloads
Likes
HH-RLHF-Helpful-standard 0 0
We process the helpful subset of Anthropic-HH into the standard format. The filtering script is as follows.
def filter_example(example):
...
25.5k
4
HH-RLHF-Harmless-and-RedTeam-standard 0 0
We process the Harmlnessess and Red-Teaming subsets of Anthropic-HH into the standard format. The filtering script is as follows.
def filte...
20.7k
4
Orca-distibalel-standard 0 0
From argilla/distilabel-intel-orca-dpo-pairs. We delete the pairs with the same score.
def process_example(example):
prompt = example['i...
16.8k
1