agentic-traces
lmcache-agentic-traces
LMCache Agentic Dataset Collection
A curated dataset collection of 787 multi-turn agentic LLM sessions (24,881 total LLM iterations) designed for benchmarking stateful LLM serving systems. Every session exhibits at least 5 turns with prefix growth and builds to at least 10K tokens of context — making it ideal for evaluating tiered KV Cache solutions like LMCache.
Motivation
Modern LLM agents (coding assistants, research agents, tool-calling systems) make dozens of… See the full description on the dataset page: https://huggingface.co/datasets/sammshen/lmcache-agentic-traces.agentic-coding-tracesThis dataset is aggregated from:
"AletheiaResearch/GLM-5.2-Agent",
"armand0e/claude-fable-5-claude-code",
"armand0e/minimax-m3-claude-code-traces",
"AletheiaResearch/Kimi-K3-Codex"
and has been converted into a single unified format:
{"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "<think>...</think>..."}, ...]}
The original raw files are kept in the .raw_sources folder for reference if you'd like to take a closer look.
Main file: USE_THIS_train.jsonl
ty
glm-5.2-nvfp4-agentic-traces
GLM-5.2 NVFP4 agentic software traces
This snapshot contains 1,989 completed Verifiers invocation records generated
with RedHatAI/GLM-5.2-NVFP4-FP8.
manifest.jsonl is a compact index for filtering and inspection.
data/<arm>.jsonl contains the exact full graph records emitted by Verifiers.
configs/<arm>.toml contains the resolved configuration for each arm.
The snapshot retains successes, failures, truncations, and scoring metadata.
Use solved, reward, has_error, failure_labels… See the full description on the dataset page: https://huggingface.co/datasets/synquid/glm-5.2-nvfp4-agentic-traces.glm52-datagen-r11-100-agentic-function-calling-pivot-v2-tracescadforge-cadquery-agentic-traces
CADForge CadQuery Agentic Traces
This dataset contains agentic CadQuery repair traces for CAD generation and RLVE/RLVR experiments.
Each trace step has:
task prompt
previous CadQuery code
reward JSON observation
next corrected CadQuery code
reward before/after and reward delta
artifact paths to renders/STLs in the source project
Files
data/sft/cadquery_agentic_sft.jsonl: raw SFT-format rows.
data/sft/cadquery_agentic_sft_positive.jsonl: strict positive rows… See the full description on the dataset page: https://huggingface.co/datasets/sanjuhs/cadforge-cadquery-agentic-traces.fable5-traces-agentic-clean-v2
