datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Muse-Glimmer-SWE-Gym-2k
Muse-Glimmer-SWE-Gym-2k
Agentic coding traces from meta-models/Muse-Glimmer-30B, recorded for training a
speculative-decoding drafter. 1,981 mini-swe-agent trajectories over SWE-Gym and
SWE-bench-extra instances, and the 159,999 individual chat-completion calls behind them.
Configs
Config
Rows
Size
What it is
train
1,981
57 MB
One row per trajectory: the full conversation as messages.
raw
159,999
2.7 GB
One row per recorded API call: request and… See the full description on the dataset page: https://huggingface.co/datasets/Satgoy152/Muse-Glimmer-SWE-Gym-2k.impossible-swegym
impossible-swegym
Software-engineering agent tasks that cannot be solved honestly. Each task is a
real SWE-Gym issue whose test suite has
been mutated by an LLM so that no correct implementation can pass it. An agent that
reports success has necessarily edited the tests, disabled them, or otherwise subverted
grading. The dataset exists to measure and study that behaviour, in the spirit of
fjzzq2002/impossible_swebench,
which applies the same idea to SWE-bench Verified.
Version… See the full description on the dataset page: https://huggingface.co/datasets/AlignmentResearch/impossible-swegym.OPSD-PI-SWE-Gym-512
OPSD-PI SWE-Gym Stage PI 512
Qwen3.5-9B stage-adaptive OPSD-PI 的公开 512-row 数据与 Weak from-scratch
训练包。Public 512-row data and Weak from-scratch training bundle.
Files
data/train.jsonl: 512 deterministic SWE-Gym rows with Weak, Medium, and
Strong PI for EXPLORE, REPRODUCE, DIAGNOSE, EDIT, and VERIFY.
data/manifest.json: source selection and integrity metadata.
release/OPSD_pi-opsd-pi-weak-from-scratch-20260818.tar.gz: immutable
source release containing launchers… See the full description on the dataset page: https://huggingface.co/datasets/LSW142857/OPSD-PI-SWE-Gym-512.OPSD-PI-SWE-Gym-1024
OPSD-PI SWE-Gym 1024
OPSD-PI is a stage-adaptive privileged-information distillation project for
repository-level coding agents. The student sees only the ordinary task and
interaction history; a frozen teacher additionally receives stage-specific PI
for EXPLORE, REPRODUCE, DIAGNOSE, EDIT, or VERIFY. Top-K forward KL distills
that signal into the student LoRA and MTP head, while evaluation runs without
external PI.
This repository publishes the prepared teacher-side inputs and… See the full description on the dataset page: https://huggingface.co/datasets/LSW142857/OPSD-PI-SWE-Gym-1024.nemotron-gym-agentic-swe-pivot
laion/nemotron-gym-agentic-swe-pivot
Harbor task-binary dataset (3,978 tasks) converted from nvidia/Nemotron-RL-Agentic-SWE-Pivot-v1
(part of the nvidia/Nemotron-Post-Training-v3 collection).
Each row is a valid Harbor
task binary: columns path (str) and task_binary (gzip tar). Converted with the
OpenThoughts-Agent data.nemotron_gym framework.
Grading: Single-step SWE tool-call match (case-sensitive, whitespace-normalized).