paired
BALM-pairedLFM2.5-1.2B-Instruct-Abliterated-Paired-Alpha22026-08-24-qwen36-lora-table2-9284-grok-responder-703-paired-rank-64gpt2_stack-exchange-paired_rmts_1000_hubgpt2-xl-stackexchange_stack-exchange-paired_reward_model_train_subset_1000gpt2_stack-exchange-paired_reward_modelQwen3-0.6B-Halo-Contextual-Guard-Paired-SFTgpt2-xl-stackexchange_stack-exchange-paired_rmts_240000
Datasets
All datasets matching “paired”stg-paired-audiopaired-llama-3.2-1b-embeddings-lmsys-chat-1m
Paired Llama 3.2 1B Token Embeddings (LMSYS-Chat-1M)
This dataset contains paired activations corresponding to single token locations extracted from Meta's Llama 3.2 1B Instruct on conversations from LMSYS-Chat-1M.
Embeddings are provided for layers 5 through 14, which capture the most interesting intermediate representations.
This dataset was built to study things like:
Learning different basis for activations at a given layer
Studying if there are cases where position encodes… See the full description on the dataset page: https://huggingface.co/datasets/scaleinvariant/paired-llama-3.2-1b-embeddings-lmsys-chat-1m.Paired_Compressible_Boussinesq_Flow_Simulation_with_Random_Temperature_BCs
Paired Compressible / Boussinesq Flow with Random Temperature BCs
📄 Paper: A Neural Surrogate Approach for Simulating Natural Convection
Problems (arXiv:2606.25259) — Nurshat Menglik,
Alex Shao, David Hyde.
10,000 matched pairs of 2D natural-convection simulations of the differentially
heated square cavity under randomized wall-temperature boundary conditions. Each
sample solves the same problem twice — once with the Boussinesq model and once
with the fully compressible model —… See the full description on the dataset page: https://huggingface.co/datasets/NurshatMenglik/Paired_Compressible_Boussinesq_Flow_Simulation_with_Random_Temperature_BCs.stack-exchange-paired
StackExchange Paired
This is a processed version of the HuggingFaceH4/stack-exchange-preferences. The following steps were applied:
Parse HTML to Markdown with markdownify
Create pairs (response_j, response_k) where j was rated better than k
Sample at most 10 pairs per question
Shuffle the dataset globally
This dataset is designed to be used for preference learning. The processing notebook is in the repository as well.
robotwin-icl-paired-v3
RoboTwin ICL-paired v3
Cross-embodiment paired dataset on RoboTwin: 25 manipulation tasks rendered for 3 robots (arx-x5, franka, ur5) from a shared seed pool, so episode index i corresponds to the same scene/trajectory across all three robots.
Status (snapshot 2026-05-03)
13 tasks: 150 train + 50 val per robot.
scan_object click_bell place_empty_cup press_stapler click_alarmclock
place_container_plate stamp_seal move_pillbottle_pad place_fan
place_bread_skillet lift_pot… See the full description on the dataset page: https://huggingface.co/datasets/yeeeiii111/robotwin-icl-paired-v3.Paired_Boussinesq_Compressible_Dataset
Paired Boussinesq / Compressible Natural Convection — 10,000 Simulations (version 2)
📄 Paper: A Neural Surrogate Approach for Simulating Natural Convection
Problems (arXiv:2606.25259) — Nurshat Menglik,
Alex Shao, David Hyde.
Version 2 (September 2026) replaces the original release. All 10,000 pairs were
regenerated; see What changed in version 2. The original
files remain available unchanged under the tag v1.0-legacy
(snapshot_download(..., revision="v1.0-legacy")). New work… See the full description on the dataset page: https://huggingface.co/datasets/NurshatMenglik/Paired_Boussinesq_Compressible_Dataset.