reflection
reflection_model_outputs_run1
Reflection Model Outputs
This repository contains model output results from various LLMs across multiple tasks and configurations.
📂 Dataset Structure
We have 3 runs of data, and all files are organized under the main directory:
EssentialAI/reflection_model_outputs_run1/
EssentialAI/reflection_model_outputs_run2/
EssentialAI/reflection_model_outputs_run3/
Within this, you will find results grouped by model architecture and checkpoint size, including:
OLMo-2 7B
OLMo-2… See the full description on the dataset page: https://huggingface.co/datasets/EssentialAI/reflection_model_outputs_run1.Reflection_maskreflection-50m
SPP Reflection 50M
The 51.4M-document reflection set from Synthetic Persona Pretraining (SPP):
Alignment from Token Zero — the production half-corpus run, and the dataset the
released models were actually trained on.
🔬 Small sample (same format): dlab-spp/reflection-sample-2k
📉 Earlier 10M run: dlab-spp/reflection-10m
🧾 Safety scores for the full 1T corpus: dlab-spp/safety-classifications
Each row pairs a source document with two generated constitution reflections — a… See the full description on the dataset page: https://huggingface.co/datasets/dlab-spp/reflection-50m.details_SenseLLM__ReflectionCoder-DS-33B
Dataset Card for Evaluation run of SenseLLM/ReflectionCoder-DS-33B
Dataset automatically created during the evaluation run of model SenseLLM/ReflectionCoder-DS-33B.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_SenseLLM__ReflectionCoder-DS-33B.reflection_model_outputs_run3
Reflection Model Outputs
This repository contains model output results from various LLMs across multiple tasks and configurations.
📂 Dataset Structure
We have 3 runs of data, and all files are organized under the main directory:
EssentialAI/reflection_model_outputs_run1/
EssentialAI/reflection_model_outputs_run2/
EssentialAI/reflection_model_outputs_run3/
Within this, you will find results grouped by model architecture and checkpoint size, including:
OLMo-2 7B
OLMo-2… See the full description on the dataset page: https://huggingface.co/datasets/EssentialAI/reflection_model_outputs_run3.relxill-reflection-spectra