datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Pan-Multiplex
Pan-Multiplex (Pan-M) dataset
This dataset was constructed to train the Nimbus model for the publication "Automated classification of cellular expression in multiplexed imaging data with Nimbus".
The dataset contains multiplexed images from different modalities, tissues and protein marker panels. It was constructed by a semi-automatic pipeline, where the cell types assigned by the authors of the original studies that published the data, where mapped back to their expected marker… See the full description on the dataset page: https://huggingface.co/datasets/JLrumberger/Pan-Multiplex.Pan-Multiplex-Gold-Standard
Pan-Multiplex-Gold-Standard dataset
This dataset was constructed to test the Nimbus model for the publication "Automated classification of cellular expression in multiplexed imaging data with Nimbus".
The dataset contains multiplexed images from different modalities, tissues and protein marker panels. It was constructed by 4 expert annotators, who proofread ~1.1M annotations which served as the gold-standard for assesing the algorithm.
More details on the construction of the dataset… See the full description on the dataset page: https://huggingface.co/datasets/JLrumberger/Pan-Multiplex-Gold-Standard.multiplexing-artiq-results
Multiplexing ARTIQ experimental results
This dataset is a public snapshot of the HDF5 result files from
artiq_working_dir - 20240315/results, collected for trapped-ion multiplexing
and quantum-networking experiments.
Contents
artiq-results.tar.zst: 7,433 HDF5 result files organized by date and hour.
MANIFEST.sha256: SHA-256 digest for every extracted HDF5 file.
DATASET_INFO.json: source inventory and publication audit summary.
The data span 170 date directories… See the full description on the dataset page: https://huggingface.co/datasets/bingran-you/multiplexing-artiq-results.frontierphysics-multiplexing-ion-chain-qnet
Multiplexing ARTIQ experimental results
This dataset is a public snapshot of the HDF5 result files from
artiq_working_dir - 20240315/results, collected for trapped-ion multiplexing
and quantum-networking experiments.
Contents
artiq-results.tar.zst: 7,433 HDF5 result files organized by date and hour.
MANIFEST.sha256: SHA-256 digest for every extracted HDF5 file.
DATASET_INFO.json: source inventory and publication audit summary.
The data span 170 date directories… See the full description on the dataset page: https://huggingface.co/datasets/benchflow/frontierphysics-multiplexing-ion-chain-qnet.crc_multiplexed_images_clinical_datamultiplex-countdown-configs-v1
multiplex-countdown-configs-v1
Training configurations for multiplex-thinking-countdown experiment. Two conditions: multiplex (w=3, soft thinking) vs baseline CoT (vanilla GRPO). Both train DeepSeek-R1-Distill-Qwen-7B on Countdown d4-d5.
Dataset Info
Rows: 2
Columns: 26
Columns
Column
Type
Description
condition
Value('string')
Experimental condition: multiplex or baseline_cot
experiment_name
Value('string')
WandB experiment name
loss_mode… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/multiplex-countdown-configs-v1.multiplex-countdown-train-data-v1
multiplex-countdown-train-data-v1
Countdown d4-d5 training data for multiplex-thinking-countdown experiment. 5000 problems with 5 numbers, targets 100-500, minimum 2 operations required.
Dataset Info
Rows: 5000
Columns: 5
Columns
Column
Type
Description
data_source
Value('large_string')
Task source identifier (countdown)
prompt
List({'content': Value('string'), 'role': Value('string')})
Chat-formatted prompt with system + user messages
ability… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/multiplex-countdown-train-data-v1.multiplex-countdown-eval-data-v1
multiplex-countdown-eval-data-v1
Countdown d4-d5 evaluation data for multiplex-thinking-countdown experiment. 500 held-out problems.
Dataset Info
Rows: 500
Columns: 5
Columns
Column
Type
Description
data_source
Value('large_string')
Task source identifier (countdown)
prompt
List({'content': Value('string'), 'role': Value('string')})
Chat-formatted prompt with system + user messages
ability
Value('large_string')
Task ability type
reward_model… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/multiplex-countdown-eval-data-v1.multiplex-countdown-val-responses-v2