completion
hypersim-frustum-completion
Hypersim Frustum Point Completion
A large-scale indoor point-cloud completion dataset derived from Hypersim. Each record simulates a partially observed room: one real camera view provides context, while a synthetic nearby “missing camera” frustum hides part of the scene. Models are trained to infer the masked region from visible points.
Why this dataset exists. Real 3D capture — whether from depth sensors, multi-view reconstruction, or neural fields — routinely produces… See the full description on the dataset page: https://huggingface.co/datasets/izhleba/hypersim-frustum-completion.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.MultiPL-E-completions
Raw Data from MultiPL-E
This repository is frozen. See https://huggingface.co/datasets/nuprl/MultiPL-E-completions for a more complete version of this repository.
Uploads are a work in progress. If you are interested in a split that is not yet available, please contact a.guha@northeastern.edu.
This repository contains the raw data -- both completions and executions -- from MultiPL-E that was used to generate several experimental results from the
MultiPL-E, SantaCoder, and StarCoder… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/MultiPL-E-completions.alignment_faking_claude_completionsopd-kd-thinky-deepmath-completions
train_rl Completion Logs
This dataset contains the on-policy generations produced during RL training
with train_rl.
Training details
Key
Value
Algorithm
OPD
Model (student)
HuggingFaceH4/KD-Thinky
Model (teacher)
Qwen/Qwen3-8B
Prompt dataset
HuggingFaceH4/DeepMath-103K
Group size
4
Max completion tokens
4096
Temperature
1.0
Learning rate
0.0001
model_revision
v00.08-step-000003125
dataset_configtrl_all
lora_rank
128
opd_kl_coef
1.0… See the full description on the dataset page: https://huggingface.co/datasets/kashif/opd-kd-thinky-deepmath-completions.CerebRM-olmo-3-7b-instruct-sft-list_em-so1_completions
TRL Completion logs
This dataset contains the completions generated during training using trl.
The completions are stored in parquet files, and each file contains the completions for a single step of training (depending on the logging_steps argument).
Each file contains the following columns:
step: the step of training
prompt: the prompt used to generate the completion
completion: the completion generated by the model
<reward_function_name>: the reward(s) assigned to the… See the full description on the dataset page: https://huggingface.co/datasets/wetsoledrysoul/CerebRM-olmo-3-7b-instruct-sft-list_em-so1_completions.