datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rlvr-reward-hacking-scale-no-conftest-20260909-completion
Matched no-conftest RLVR study 20260909-completion
Lossless research records, grouped by model and trajectory type. Only the listed
configurations have published records. Canary diagnostics are excluded from study
estimates; run status in provenance distinguishes retired diagnostics from active
or completed training. Valid failures, refusals and truncations are retained.
The train split name is a dataset-loader convention; record_type identifies
whether a record is training… See the full description on the dataset page: https://huggingface.co/datasets/lucabaroni/rlvr-reward-hacking-scale-no-conftest-20260909-completion.BenchMAX_Function_Completion
Dataset Sources
Paper: BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
Link: https://huggingface.co/papers/2502.07346
Repository: https://github.com/CONE-MT/BenchMAX
Dataset Description
BenchMAX_Function_Completion is a dataset of BenchMAX, sourcing from humanevalplus, which evaluates the code generation capability in multilingual scenarios.
We extend the original English dataset to 16 non-English languages.
The data is first translated… See the full description on the dataset page: https://huggingface.co/datasets/LLaMAX/BenchMAX_Function_Completion.jb-completions
JB-Completions Dataset: Base Model Safety Evals
Overview
JB-Completions is a dataset designed for evaluating the harmfulness of base language models (i.e., completion/non-instruction-fine-tuned LLMs). This dataset contains pairs of harmful prompts and their corresponding completions, allowing researchers to assess how base models respond to potentially harmful inputs. See our paper on Safety Pretraining for more details!
Dataset Structure
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/locuslab/jb-completions.DaVinci_Completion
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/mskov/DaVinci_Completion.tiny-vintage-completions
Tiny vintage completions
Synthetic vintage texts, with a cutoff date for year 1900.
Based on unique 2-3 word seeds, extracted from croqaz/Vintage-v1, croqaz/Vintage-v2 and Haykgrigorian/English-historical-corpus-1800-1875.
Check the files seeds1.txt and seeds2.txt.
Generated by TypeWriter-7B-base and Talkie-13B-base completions.
Citation
If you find this dataset valuable, please consider citing:
@misc{Tiny-vintage-completions,
title = {Tiny vintage completions}… See the full description on the dataset page: https://huggingface.co/datasets/croqaz/tiny-vintage-completions.epfl-llm_guidelines_axolotl-completionepfl-llm/guidelines converted to work with axolotl completion or pretraining.
heretic-completions
Heretic Completions
Model completions used as SFT targets for a refusal-abliteration LoRA study.
Each row pairs a prompt from a red-teaming / over-refusal benchmark with a
completion from a refusal-removed ("heretic" / abliterated) model.
Safety notice. This is a private research dataset. Many completions
comply with harmful or dual-use requests by design, so the refusal signal
can be measured and abliteration studied. Do not redistribute or use outside
authorized safety… See the full description on the dataset page: https://huggingface.co/datasets/noahrossi/heretic-completions.example-axolotl-completionhotpotqa-dev-raft-subset-completionFollows RAFT to generate question, documents, answer triplets
from the first 110 512-token chunks of the HotPotQA dev set (fullwiki) with 2 questions per chunk and 3 distractor docs
and formatted into completion.
rr-circuit-breakers-attack-completions
RR (Circuit Breakers) attack completions with three-judge scores
This dataset bundles attack completions generated against
GraySwanAI/Llama-3-8B-Instruct-RR
(the "circuit breakers" defense), each scored by three independent judges:
local:strongreject (Lin et al., StrongREJECT classifier — most permissive)
local:harmbench (HarmBench classifier — middle)
local:gpt_oss (gpt-oss-safeguard-20b — strictest)
Headline finding: judges DISAGREE dramatically on… See the full description on the dataset page: https://huggingface.co/datasets/samuelsimko/rr-circuit-breakers-attack-completions.