teacher-llm
llm-classification-v7a-ensemble-teacher-v1
llm-classification-v7a-ensemble-teacher-v1
Pseudo-label dataset for Kaggle LLM Classification Finetuning v7a.
Purpose
This dataset is generated by 01.5 ensemble pseudo-labeling.
The purpose of this dataset is to transfer the knowledge of a two-model teacher ensemble into a single student model for v7a training.
Teachers:
v5a: tussiiiii/llmcmp-distill-llama3-8b-lora-v5a-no-rationale-long-ab-swap-merged
v6q:… See the full description on the dataset page: https://huggingface.co/datasets/tussiiiii/llm-classification-v7a-ensemble-teacher-v1.LeroyDyer___Spydaz_Web_AI_Top_Teacher_-details
Dataset Card for Evaluation run of LeroyDyer/Spydaz_Web_AI_Top_Teacher
Dataset automatically created during the evaluation run of model LeroyDyer/Spydaz_Web_AI_Top_Teacher
The dataset is composed of 38 configuration(s), each one corresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer___Spydaz_Web_AI_Top_Teacher_-details.LeroyDyer___Spydaz_Web_AI_AGI_R1_Math_Teacher-details
Dataset Card for Evaluation run of LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher
Dataset automatically created during the evaluation run of model LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher
The dataset is composed of 38 configuration(s), each one corresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer___Spydaz_Web_AI_AGI_R1_Math_Teacher-details.LeroyDyer___Spydaz_Web_AI_AGI_R1_Teacher_Coder-details
Dataset Card for Evaluation run of LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder
Dataset automatically created during the evaluation run of model LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder
The dataset is composed of 38 configuration(s), each one corresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer___Spydaz_Web_AI_AGI_R1_Teacher_Coder-details.llm-classification-distilled-v2-teacher-hard
LLM Classification Distilled v2 (Teacher Hard)
Overview
Teacher-hard distilled subset merged from sharded v2 distillation outputs.
Files
train.csv: merged dataset file
Shard Source
Source shard repo: tussiiiii/llm-classification-distilled-v2-sharded
Number of shards: 4
Notes
This dataset was generated by a teacher-judge distillation pipeline.
Labels are stored in ABC form: A, B, C where C means tie.
This repository is:… See the full description on the dataset page: https://huggingface.co/datasets/tussiiiii/llm-classification-distilled-v2-teacher-hard.llm-classification-distilled-v1-teacher-hard
LLM Classification Distilled v1 (Teacher Hard)
Overview
Hard subset where the teacher strongly preferred a label but disagreed with gold. Useful for analysis or hard-example mixing.
Files
train.csv: main dataset file uploaded from train_distilled_qwen32b_awq_v1_teacher_hard.csv
Notes
This dataset was generated by a teacher-judge distillation pipeline.
Labels are stored in ABC form.
The dataset repository is:… See the full description on the dataset page: https://huggingface.co/datasets/tussiiiii/llm-classification-distilled-v1-teacher-hard.