logging
vehicle-entry-exit-loggingllama-3-2-1b-custom-100-steps-logging-old-deepspeedlibero-test-logginglr-20k-stage-0-1e-4-Qwen2-5-1-5-B-Instruct-custom-1000-steps-logging-old-deepspeedllama-3-2-1b-custom-100-steps-loggingstage-2-custom-llama-3-2-custom-1000-steps-logging-old-deepspeedlerobot_dy_raw_trainscript_configname_loggingdirlr-1e-4-llama-3-2-1b-custom-1000-steps-logging-old-deepspeed
Datasets
All datasets matching “logging”double_logging_system_to_detect_an_unaligned_llm
Double Logging to Detect an Unaligned LLM
Can comparing a model's own action log with an automatic system log detect harmful behaviour? The detector sees only the two logs and is scored on detection rate and false alarms.
Status: in design. No data yet.
Code
GitHub
Earlier study
INSIDER_LLM_DETECTION_BENCHMARK (archived)
Mindcraft-CE-cloud-logging-anonomized
Overview on this Dataset
This dataset is the first showing of cloud collected data from Mindcraft-CE.
This features over 13,000 conversations, collected in just a week, and was then anonomized.
PMData_sports_logging_dataset
calories.json shows how many calories the person has burned
the last minute.
distance.json gives the distance moved per minute. Distance is in
centimeters.
exercise.json describes each activity in more detail. It contains the
date with start and stop time, time in different activity levels,
type of activity, and various performance metrics depending
on the type of exercise, e.g., for running, it contains distance,
time, steps, calories, speed, and pace.
heart_rate.json shows the number of… See the full description on the dataset page: https://huggingface.co/datasets/wellness10/PMData_sports_logging_dataset.eval_test_logging_1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 1,
"total_frames": 601,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/adungus/eval_test_logging_1.eval_test_loggingThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 1,
"total_frames": 726,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/adungus/eval_test_logging.food-logging-intent