explicit
siglip2-x256-explicit-contentyuntian-deng_-_gpt2-explicit-cot-multiplication-20-digits-ggufbert-large-uncased-pdtb2-explicit-four-waysiglip2-x256p32-explicit-contentintent-aware-lfqa-qwen3-4b-intent-explicit-GGUFintent-aware-lfqa-llama3-8b-intent-explicit-GGUFintent-aware-lfqa-qwen3-8b-intent-explicit-GGUFetr1o-explicit-v1.1-i1-GGUF
Datasets
All datasets matching “explicit”explicit-edit-benchmark
Explicit Edit Benchmark
226 deterministic exact-edit tasks, run by different agents, harnesses, models and configurations. Every observation records what the harness did and whether the resulting files matched byte for byte.
Source code and benchmark runner: GitHub — Explicit Edit Benchmark
Open the interactive Explorer to compare agents, harnesses, models, versions, reasoning modes, correctness, recovery, time, cost and tokens.
Leaderboard by model route
Score v2… See the full description on the dataset page: https://huggingface.co/datasets/alexshpunt/explicit-edit-benchmark.Danbooru2024_rating_explicit_prompts_without_character精选了danbooru2024里分级为explict且score>20的所有图像的prompt,去除了原角色的tag和相关特征,可以直接用于角色nsfw图像生成
emotion_explicit_cue2026-10-01-odcv-qwen36-0-da-explicit-15
odcv eval of dougalldeepmind/2026-09-30-qwen36-0-da-explicit-15 (mode=think)
field
value
experiment
odcv eval of dougalldeepmind/2026-09-30-qwen36-0-da-explicit-15 (mode=think)
date_generated
2026-10-01
constitution
none
source_repo
teaching_claude_why_replication @ f62a8330e34861fcc607e3ef702656ecceacc93e
models
{"target": "dougalldeepmind/2026-09-30-qwen36-0-da-explicit-15", "target_revision": "bac735111b6a181b13511224da48f61cef6394c3", "base":… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-10-01-odcv-qwen36-0-da-explicit-15.Explicit-NeRF-QAIf you use our dataset, please cite the following article:
@article{xing2024explicit,
title={Explicit-NeRF-QA: A quality assessment database for explicit NeRF model compression},
author={Xing, Yuke and Yang, Qi and Yang, Kaifa and Xu, Yilin and Li, Zhu},
journal={arXiv preprint arXiv:2407.08165},
year={2024}
}
2026-09-30-da-explicit-synth
synth da-explicit run — per-stage snapshots (resumable generation cache)
field
value
experiment
synth da-explicit run — per-stage snapshots (resumable generation cache)
date_generated
20260930_200535
constitution
constitutions/claude_distilled_09_principles/constitution.md
source_repo
https://github.com/Matthew-Bozoukov/Lessons_from_constituitional_AFT.git @ 308511e9fa5f64fba3ed95dd484c9c13b50035b1
models
per-stage models — see manifest.json… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-30-da-explicit-synth.
