datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
spec_cpu_branch_tracesdim58-cpuData-31cases
Dim58 CPU Data — 31 Cases
Dataset uploaded from:
/mnt/data/ubuntu/research/outputs/data_cpu_geodesic58
Dataset summary
Property
Value
Repository
hosseinbv/dim58-cpuData-31cases
Number of files
64
Total size
17.87 GB
Source folder
data_cpu_geodesic58
File types
Extension
File count
.npz
62
.json
1
.csv
1
Top-level contents
0000_internal_case1_data.npz
0001_internal_B_10.npz… See the full description on the dataset page: https://huggingface.co/datasets/hosseinbv/dim58-cpuData-31cases.glm-moe-dsa-tiny-cpu-repro-v1
Tiny GLM MoE DSA: two CPU captures, forced zero-KL replay
Reproducibility evidence for
malaiwah/glm-moe-dsa-tiny-random-bf16,
checkpoint/config/tokenizer revision 45563636ef723acfb826755493447dc40c7a0c37.
This is a synthetic pipeline test, not a quality benchmark, quantization measurement,
qualified production reference, or registry submission. The model is random-init.
No GPU or paid cloud job was used.
Observed result
Two fresh capture processes, two CPU… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm-moe-dsa-tiny-cpu-repro-v1.swe-agent-cpu-dynamorio-pilot-sympy-15599
One-agent CPU trace pilot
Preliminary research data. Validation is incomplete; this is not a confirmed dead-state result.
One live mini-SWE-agent 2.4.6 execution of sympy__sympy-15599, using a separate Qwen3-Coder-30B-A3B-Instruct AWQ server. The collector finished normally in 907.94 seconds. The agent made 57 model calls and submitted a patch; benchmark evaluation was not run. This is mini-SWE-agent, not the original full SWE-agent implementation.
What is included… See the full description on the dataset page: https://huggingface.co/datasets/harry1332/swe-agent-cpu-dynamorio-pilot-sympy-15599.new-cpu-260310
Coding Agent Conversation Logs
This is a performance art project. Anthropic built their models on the world's freely shared information, then introduced increasingly dystopian data policies to stop anyone else from doing the same with their data — pulling up the ladder behind them. DataClaw lets you throw the ladder back down. The dataset it produces is yours to share.
Exported with DataClaw.
Tag: dataclaw — Browse all DataClaw datasets
Stats
Metric
Value… See the full description on the dataset page: https://huggingface.co/datasets/nixjoe/new-cpu-260310.nes-cpu-260316
Coding Agent Conversation Logs
This is a performance art project. Anthropic built their models on the world's freely shared information, then introduced increasingly dystopian data policies to stop anyone else from doing the same with their data — pulling up the ladder behind them. DataClaw lets you throw the ladder back down. The dataset it produces is yours to share.
Exported with DataClaw.
Tag: dataclaw — Browse all DataClaw datasets
Stats
Metric
Value… See the full description on the dataset page: https://huggingface.co/datasets/nixjoe/nes-cpu-260316.cpunew-cpu-260308
Coding Agent Conversation Logs
This is a performance art project. Anthropic built their models on the world's freely shared information, then introduced increasingly dystopian data policies to stop anyone else from doing the same with their data — pulling up the ladder behind them. DataClaw lets you throw the ladder back down. The dataset it produces is yours to share.
Exported with DataClaw.
Tag: dataclaw — Browse all DataClaw datasets
Stats
Metric
Value… See the full description on the dataset page: https://huggingface.co/datasets/nixjoe/new-cpu-260308.nes-cpu
Coding Agent Conversation Logs
This is a performance art project. Anthropic built their models on the world's freely shared information, then introduced increasingly dystopian data policies to stop anyone else from doing the same with their data — pulling up the ladder behind them. DataClaw lets you throw the ladder back down. The dataset it produces is yours to share.
Exported with DataClaw.
Tag: dataclaw — Browse all DataClaw datasets
Stats
Metric
Value… See the full description on the dataset page: https://huggingface.co/datasets/nixjoe/nes-cpu.cpu-tabular-benchmark-wdbc
CPU Tabular Benchmark — Breast Cancer Wisconsin Diagnostic (WDBC)
A lightweight, fully CPU benchmark on a classic public dataset where a well-coded
model reaches SOTA-level results. It pits the tabular foundation model
TabPFNv2 (running on CPU) against carefully tuned gradient-boosting baselines
under a rigorous repeated cross-validation protocol.
Headline result: TabPFNv2 on CPU ranks #1, with ROC-AUC 0.9970 and
Accuracy 98.07% — at the top of the published state of the art… See the full description on the dataset page: https://huggingface.co/datasets/AurelPx/cpu-tabular-benchmark-wdbc.cpu_gpu_data