datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
details_grimjim__Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge
Dataset Card for Evaluation run of grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge
Dataset automatically created during the evaluation run of model grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge.
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… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_grimjim__Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge.qwen3-8b-activations-l20-l36
Qwen3 8B Activations for Layers 20 and 36
This dataset contains assistant-token residual activations harvested from Qwen/Qwen3-8B over 980000 training conversations from lmsys/lmsys-chat-1m.
We only generated for Layer 20 and 36 because each one costs 2TB and we simply cannot afford to store more :)
You can use this dataset to train SAEs, linear probes, other mech interp models etc, for Qwen3 8B.
We picked Qwen3 8B because this is a small part of a larger experiment to use feature… See the full description on the dataset page: https://huggingface.co/datasets/sammyliu/qwen3-8b-activations-l20-l36.sae-activations-llama-3.1-8b-layer19-lmsys-chat-1m
SAE Feature Activations — Llama 3.1 8B Instruct, Layer 19 (LMSYS-Chat-1M)
This dataset contains Sparse Autoencoder (SAE) feature activations extracted from layer 19 of Meta's Llama 3.1 8B Instruct on conversations from LMSYS-Chat-1M.
It also has natural language explainations of features generated by GPT OSS 120B. See subset 4 for details.
The SAE used is Goodfire/Llama-3.1-8B-Instruct-SAE-l19, which decomposes layer-19 residual stream activations into interpretable sparse features.… See the full description on the dataset page: https://huggingface.co/datasets/scaleinvariant/sae-activations-llama-3.1-8b-layer19-lmsys-chat-1m.details_princeton-nlp__Llama-3-8B-ProLong-512k-Instruct
Dataset Card for Evaluation run of princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
Dataset automatically created during the evaluation run of model princeton-nlp/Llama-3-8B-ProLong-512k-Instruct.
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… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_princeton-nlp__Llama-3-8B-ProLong-512k-Instruct.aya-expanse-8b-toksuite-detokenizedTraining data of the model detokenized in the exact order seen by the model.
The training data is partitioned into 8 chunks (chunk-0 through chunk-7), based on the GPU rank that generated the data. Each chunk contains detokenized text files in JSON Lines format (.jsonl).
hubble-8b-unlearning-results0399-tv-valid-clean-sft-tokenized-llmjp4-8blm-eval-results-princeton-nlp-Llama-3-Base-8B-SFT-RDPO-private
Dataset Card for Evaluation run of princeton-nlp/Llama-3-Base-8B-SFT-RDPO
Dataset automatically created during the evaluation run of model princeton-nlp/Llama-3-Base-8B-SFT-RDPO
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 7 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… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-princeton-nlp-Llama-3-Base-8B-SFT-RDPO-private.rh_qwen3_8b_prompted_v2_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/sunshineNew/rh_qwen3_8b_prompted_v2_completions.numina-math-llama-3.1-8b-bon-meta-cotrh_qwen3_8b_sdf_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/sunshineNew/rh_qwen3_8b_sdf_completions.details_meta-llama__Meta-Llama-3-8B-Instruct
Dataset Card for Evaluation run of meta-llama/Meta-Llama-3-8B-Instruct
Dataset automatically created during the evaluation run of model meta-llama/Meta-Llama-3-8B-Instruct.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 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/OALL/details_meta-llama__Meta-Llama-3-8B-Instruct.lm-eval-results-hkust-nlp-dart-math-llama3-8b-prop2diff-private
Dataset Card for Evaluation run of hkust-nlp/dart-math-llama3-8b-prop2diff
Dataset automatically created during the evaluation run of model hkust-nlp/dart-math-llama3-8b-prop2diff
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 4 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… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-hkust-nlp-dart-math-llama3-8b-prop2diff-private.qwen3-8b-base-atlas-SAE
Qwen3-8B-Base Feature Atlas
A single queryable SQLite database (atlas.sqlite, ~570 MB) that maps the internals of
Qwen/Qwen3-8B-Base — every weight channel and
every sparse-autoencoder feature scored for what it selects for, across a register-diverse
corpus of 4,946 prompts.
It is not a text dataset. There are no training rows. It is an index of model internals
— the kind of thing you query to find "which channels in layer 23 discriminate compliance from
authentic-personality… See the full description on the dataset page: https://huggingface.co/datasets/juiceb0xc0de/qwen3-8b-base-atlas-SAE.qwen3-8b-residualsapertus-8b-greek-cpt-modern-greek-train
Exact Modern-Greek training content for Apertus 8B Greek CPT
This is the public Modern-Greek, train-only document snapshot selected for the full 8B D0 continued-pretraining run. It preserves the upstream v2 schema and metadata; text is reproduced as its exact training-time Apertus-parity PII-masked value. Selection is reconstructed from immutable post-mask training catalogs and content hashes. It contains no replay payload.
Exact selected content
HPLT Modern… See the full description on the dataset page: https://huggingface.co/datasets/fffoivos/apertus-8b-greek-cpt-modern-greek-train.new_8b_self_corr_standardMagpie-Llama-3.1-8B-Instruct-UnfilteredDataset generated using meta-llama/Llama-3.1-8B-Instruc with the MAGPIE codebase.
The filtered dataset can be found here: /HiTZ/Magpie-Llama-3.1-8B-Instruct-Filtered
System prompts used
General
<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nCutting Knowledge Date: December 2023\nToday Date: 26 Jul 2024\n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n
Code
<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are an AI… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/Magpie-Llama-3.1-8B-Instruct-Unfiltered.fineweb-CC-MAIN-2024-10-8B-enQwen-Qwen3-8B-toksuite-detokenizedTraining data of the model detokenized in the exact order seen by the model.
The training data is partitioned into 8 chunks (chunk-0 through chunk-7), based on the GPU rank that generated the data. Each chunk contains detokenized text files in JSON Lines format (.jsonl).
details_Orenguteng__Llama-3.1-8B-Lexi-Uncensored-V2
Dataset Card for Evaluation run of Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
Dataset automatically created during the evaluation run of model Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2.
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… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_Orenguteng__Llama-3.1-8B-Lexi-Uncensored-V2.lm-eval-results-allenai-llama-3-tulu-2-dpo-8b-private
Dataset Card for Evaluation run of allenai/llama-3-tulu-2-dpo-8b
Dataset automatically created during the evaluation run of model allenai/llama-3-tulu-2-dpo-8b
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 7 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/nyu-dice-lab/lm-eval-results-allenai-llama-3-tulu-2-dpo-8b-private.generations-llama-3_1-8b-rmu-baselinelm-eval-results-penfever-Llama-3-8B-tulu-human-v2-private
Dataset Card for Evaluation run of penfever/Llama-3-8B-tulu-human-v2
Dataset automatically created during the evaluation run of model penfever/Llama-3-8B-tulu-human-v2
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 7 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/nyu-dice-lab/lm-eval-results-penfever-Llama-3-8B-tulu-human-v2-private.qwen3-8b-atlas
juiceb0xc0de/qwen3-8b-atlas
A brain atlas for Qwen/Qwen3-8B, the 8B dense member of the Qwen3 family. This is not a chat dataset or a benchmark. It is an internal-mechanics map built by running activations through a corpus of prompts and scoring what each layer, component, head, and feature direction is doing.
If you want to know what a model with no idle capacity looks like from the inside, where register information lives in a well-trained dense stack, or why this particular… See the full description on the dataset page: https://huggingface.co/datasets/juiceb0xc0de/qwen3-8b-atlas.generations-llama-3_1-8b-rmu-bm25-10b-rebuttalQwen-Qwen3-8B-toksuite-detokenizedTraining data of the model detokenized in the exact order seen by the model.
The training data is partitioned into 8 chunks (chunk-0 through chunk-7), based on the GPU rank that generated the data. Each chunk contains detokenized text files in JSON Lines format (.jsonl).
details_terrycraddock__Reflection-Llama-3.1-8B
Dataset Card for Evaluation run of terrycraddock/Reflection-Llama-3.1-8B
Dataset automatically created during the evaluation run of model terrycraddock/Reflection-Llama-3.1-8B.
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… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_terrycraddock__Reflection-Llama-3.1-8B.details_EpistemeAI__Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200
Dataset Card for Evaluation run of EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 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"… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_EpistemeAI__Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200.generations-llama-3_1-8b-undial-bm25-6t-rebuttal