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All datasets matching “acm”beamit-full-texts-dataset
Dataset Card for "beamit-full-texts-dataset"
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acme-home-inbox
ACME Home Inbox
Public dataset: https://huggingface.co/datasets/Mitchins/acme-home-inbox
The v0.2.0 checkpoint contains the complete synthetic dataset plus the first
canonical OCR/vision deployment bake-off. Benchmark results are an auditable
research checkpoint, not a claim that any tested routing policy is ready for
unattended household use.
ACME Home Inbox is a fully synthetic, reproducible stress test for a practical
systems question:
Does graphical evidence change the… See the full description on the dataset page: https://huggingface.co/datasets/Mitchins/acme-home-inbox.AcmeTrace
Acme Trace
This repository hosts the public releases of Acme traces from the Shanghai AI Lab, encompassing workloads spanning from March 2023 to August 2023. We encourage anyone to use the traces for academic purposes, and if you had any questions, feel free to send an email to us, or file an issue on Github.
Furthermore, we have conducted a thorough analysis of the Acme workloads, detailed in our NSDI '24 paper titled Characterization of Large Language Model Development in the… See the full description on the dataset page: https://huggingface.co/datasets/Qinghao/AcmeTrace.Anonymous_ACMMM_2025_Submission
🗂️ Anonymous_ACMMM_2025_Submission Dataset
This dataset is prepared for the Anonymous ACMMM 2025 submission, containing multi-view event-based data designed for dynamic 3D scene reconstruction tasks.
📁 Dataset Structure
Each subfolder corresponds to a distinct synthetic or real-world scene, such as:
lego_6_views/
capsule_6_views/
garage_6_views/
Restroom_6_views/
Cubes_6_views/
Hinge_6_views/
MC-Toy_6_views/
Rubik’s-Cube_6_views/
Each scene folder contains 6 views… See the full description on the dataset page: https://huggingface.co/datasets/Anonymous-ACMMM-2025-Submission/Anonymous_ACMMM_2025_Submission.acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch3
lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch3
Teacher (Qwen3.5-397B-A17B) top-20 forward-KL log-prob annotations for offline on-policy
distillation (OPD) of Qwen3.5-9B on BrowseComp-Plus train680 (MemTool regime).
Trains: OPD iter-3
Annotates the rollouts of: iter-2 rollouts (…-train-rollouts-…-epoch2)
One .npz per (question, rep) trajectory · 736 files.
Schema (per file, numpy.load)
key
shape
dtype
meaning
input_ids
(L,)
int32… See the full description on the dataset page: https://huggingface.co/datasets/lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch3.acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch2
lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch2
Teacher (Qwen3.5-397B-A17B) top-20 forward-KL log-prob annotations for offline on-policy
distillation (OPD) of Qwen3.5-9B on BrowseComp-Plus train680 (MemTool regime).
Trains: OPD iter-2
Annotates the rollouts of: iter-1 rollouts (…-train-rollouts-…-epoch1)
One .npz per (question, rep) trajectory · 849 files.
Schema (per file, numpy.load)
key
shape
dtype
meaning
input_ids
(L,)
int32… See the full description on the dataset page: https://huggingface.co/datasets/lixiaochuan2020/acm-browsecompplus-teacher-logprobs-qwen3.5-9b-epoch2.