datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Openthoughts_math_30k_opsdops-lite
ops-lite
A curated 500-case root-cause-analysis (RCA) evaluation set for
microservice systems, with manifest-driven causal-graph ground truth.
Each case bundles:
a chaos-injection ground truth (injection.json)
a causal service graph derived from the injection's fault contract
(causal_graph.json)
the runtime environment snapshot (env.json, result.json,
label.txt)
12 parquet metric tables per case, split into the abnormal window
(during fault) and the normal window (baseline)
The… See the full description on the dataset page: https://huggingface.co/datasets/anon-ops/ops-lite.CUDA-Agent-Ops-6K
CUDA-Agent-Ops-6K
CUDA-Agent-Ops-6K is a curated training dataset for CUDA kernel generation and optimization.
It is released as part of the CUDA-Agent project:
Project Page: https://CUDA-Agent.github.io/
Github Repo: https://github.com/BytedTsinghua-SIA/CUDA-Agent
Dataset Summary
CUDA-Agent-Ops-6K contains 6,000 synthesized operator-level training tasks designed for large-scale agentic RL training. It is intended to provide diverse and executable CUDA-oriented training… See the full description on the dataset page: https://huggingface.co/datasets/BytedTsinghua-SIA/CUDA-Agent-Ops-6K.openthoughts_math_30k_opsd_splitgit-ops-recovery-trajectories
Git Ops Recovery Trajectories
Rights & intended use: legacy public research corpus / portfolio
artifact. Hosted frontier-model outputs are research-only inputs under
project policy (synthetic-factory#161):
intended_use: research_only, project_training_policy: blocked. Not
training data for any model-weight update. Machine-readable record:
rights.json.
Release status: The raw, uncurated payload is now published under
data/raw/. It is available for inspection and… See the full description on the dataset page: https://huggingface.co/datasets/rmems/git-ops-recovery-trajectories.dc-ops-dataset
DC-Ops: Data Center Components Dataset
On-device data center operations assistant dataset for the Qualcomm x Meta ExecuTorch Hackathon.
Overview
319 images of data center infrastructure (server racks, NVIDIA NVL72, cables, ports, etc.)
3,045 polygon annotations in YOLO-seg format
16 component classes auto-labeled with Grounding DINO + SAM, for fine-tuning YOLOv8n-seg
Classes
ID
Class
Count
0
server rack
rack enclosures
1
compute tray… See the full description on the dataset page: https://huggingface.co/datasets/abhijitbetigeri/dc-ops-dataset.bitwise-opsgsm_infinite_hard_r0.4_ops24string-opsopsd-cl-assets
opsd-cl-assets
Offline assets for the OPSD continual-learning project on a box without DNS.
Built 2026-09-12 on VAST. Pull everything with one command, then run install_on_box.sh.
path
content
size
wheelhouse/
167 wheels resolved from siyan-zhao/OPSD environment.yml for cp310 / manylinux x86_64, plus deepspeed-0.18.2.tar.gz and the lock file
4.7 GB
models/Qwen3-1.7B
Qwen/Qwen3-1.7B
3.8 GB
datasets/Openthoughts_math_30k_opsd
siyanzhao/Openthoughts_math_30k_opsd… See the full description on the dataset page: https://huggingface.co/datasets/HzChen20/opsd-cl-assets.ops-lite-review-sample
ops-lite-review-sample
This repository is a reviewer-facing sample of the full ops-lite benchmark.
Full dataset: https://huggingface.co/datasets/anon-ops/ops-lite
Full dataset release used for this sample: the same public ops-lite
release associated with this submission
Sample dataset URL: https://huggingface.co/datasets/anon-ops/ops-lite-review-sample
What is included
10 complete RCA cases under cases/
a subset manifest.jsonl containing metadata for those same 10… See the full description on the dataset page: https://huggingface.co/datasets/anon-ops/ops-lite-review-sample.op-spp-streams-v2
op-spp-streams-v1 — tokenized Megatron streams (SPP-format pretraining corpus)
Tokenized Dolma v1.7 (ODC-BY)
subsample in Megatron IndexedDataset format (uint16, SmolLM2 tokenizer +
<assistant> extension from epfl-dlab/spp-training):
compact dense-packed 2049-token windows; annotated/canary one document
per window, EOD-padded. Built for a Synthetic-Persona-Pretraining-recipe run
(arXiv:2608.13482) — these files carry ONLY document tokens (raw public-corpus
text); the persona… See the full description on the dataset page: https://huggingface.co/datasets/joshycodes/op-spp-streams-v2.Full_Agent_RL_OPSD_with_Just_2_A800sexcel-ai-ops
ExcelAI Ops Synthetic
Programmatic synthetic data for training a 1B specialist to generate Excel workbooks via constrained JSON ops.
Each row: instruction + input_data (CSV) -> completion (JSON string of ops list). Parse completion with json.loads, validate with schema.json, build with build_excel.py -> .xlsx.
Tasks: budget_tracker, invoice, sales_report, gradebook, inventory, timesheet.
Format:
prompt: "Instruction: ...\nData:\n...\nOutput JSON ops:"
completion: JSON string of… See the full description on the dataset page: https://huggingface.co/datasets/maxie-12321/excel-ai-ops.gsm_infinite_hard_r0.4_ops16llm-system-ops-production-telemetry-sft-data
🤖📈 LLM System Ops Telemetry (Synthetic)
A synthetic, production-style, multi-table LLM telemetry dataset designed for LLMOps analytics and decision-grade experiments.
It supports monitoring cost, latency, tokens, failures, safety flags, tool usage, and user feedback at the interaction level,
with rollups at the session and user levels — plus an SFT table aligned 1:1 with interactions and a prompt/config dimension.
Synthetic data (safe for teaching, prototyping, and portfolio… See the full description on the dataset page: https://huggingface.co/datasets/tarekmasryo/llm-system-ops-production-telemetry-sft-data.swe_opsd_datasetopsd-toolsurgvu-cat2-vqa
SurgVU Category 2 VQA pairs
No video or frames are included. This is 23,354 question–answer pairs over
30-second windows of the published SurgVU dataset. Each record gives a case id and
a start/stop time, so anyone with the SurgVU videos can regenerate the exact frames.
Used to train the vision-language model in our SurgVU 2026 Category 2 submission.
Contents
file
data/train.jsonl
18,619 pairs
data/val.jsonl
4,735 pairs
recipe/build_qa_pairs.py… See the full description on the dataset page: https://huggingface.co/datasets/opscribe-ai/surgvu-cat2-vqa.patentsllava-10k-cot-iqa-opsagenttune-agent-ops-SFT-qwen3-0.6b-tracesagenttune-agent-ops-GRPO-tracesgsm_infinite_hard_r0.4_ops8tanpo-ops-sft
Tanpo Ops SFT (10k)
Ownership
Owner: DarkNinja Solutions
Creator: d4rkninja
Community: DarkLab
Domain
Operations and systems: process design, SOPs, tooling, capacity, quality, and scaling operational excellence.
Dataset summary
Field
Value
Rows
10000
Schema
Chat SFT (messages with system / user / assistant)
Source file
tanpo-ops-sft-10k-format-fixed.jsonl
Audit verdict
PASS
Empty assistant rate
0.0%
Exact… See the full description on the dataset page: https://huggingface.co/datasets/d4rkninja/tanpo-ops-sft.str-ops-corpus
STR-Ops-Corpus: Short-Term Rental Operations & Property Inspection Corpus
A domain-specific, openly licensed text corpus of 241 documents
(~275,747 words / ~435,376 tokens, cl100k_base) on short-term rental (STR) and vacation
rental property management: property inspection, turnover and changeover operations, cleaning,
damage detection and platform claims, maintenance, staffing, and regulatory compliance.
The corpus is intended for fine-tuning and evaluating large language… See the full description on the dataset page: https://huggingface.co/datasets/Metzpapa/str-ops-corpus.SPSD-Variants-opsd
SPSD-Variants-opsd
Grounded on-policy self-distillation (OPSD) teacher-context dataset over 45
board-game rule variants (5 families × 9: connect4, domineering,
simplified_first_attack, simplified_othello, tic_tac_chess), derived from
trained MuZero/EfficientZero checkpoints (plan-528 v2).
Each row is a decision-state task (a move choice or one of six auxiliary
state-QA tasks). The privileged_context is the teacher signal: grounded
natural-language reasoning that discovers the… See the full description on the dataset page: https://huggingface.co/datasets/LorMolf/SPSD-Variants-opsd.hr-ops-tools
HR-Ops: 8,621 rows of tool calling and cited policy for HR assistants
A training set for HR-operations assistants, built around one idea: make the HR task
objectively checkable. The headline shard is tool calling against authored HR-ops
function schemas, where a correct answer is exact JSON and a wrong one cannot hide behind
fluent prose. Built for the Adaption AutoScientist Challenge, Part 2 (HR).
What this dataset proves, and how you check it
rows
8… See the full description on the dataset page: https://huggingface.co/datasets/Jainamshahhh/hr-ops-tools.scaleswe-opsd-v2-3200-summary
Scale-SWE OPSD v2 — 3200 tasks with summary hints
The training set used for the Scale-SWE on-policy self-distillation (OPSD) runs. 3200 SWE tasks across
752 repositories, each paired with a reference agent trajectory and a condensed solution hint.
Uploaded from /checkpoint/huggingface/datasets/scaleswe_opsd_v2_3200_summary (a
datasets.save_to_disk directory), converted to parquet. Row count, ids and field contents verified
identical to the source.
⚠️ Contains… See the full description on the dataset page: https://huggingface.co/datasets/starli-snowflake/scaleswe-opsd-v2-3200-summary.opsdataDataset Card for Energy — OPEN POWER System Data
This dataset was prepared for the OpenHPI course Time Series Analysis and Forecasting and provides electricity consumption, renewable generation, weather, and electricity price data across European countries, including Germany. The data is aggregated from the ENTSO-E Transparency Platform and the Open Power System Data project, spanning over 10 years with 15- and 30-minute time intervals. It is suitable for energy forecasting, renewable… See the full description on the dataset page: https://huggingface.co/datasets/mt0rm0/opsdata.