datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
trackio-datasetgreen-vla-sft-trackio-datatrackio-datasettranslation-bench-trackio-datasetgreen-vla-spiral-trackio-datatrackio-experiments
Trackio Experiments Dataset
This dataset stores experiment tracking data for ML training runs, particularly focused on SmolLM3 fine-tuning experiments with comprehensive metrics tracking.
Dataset Structure
The dataset contains the following columns:
experiment_id: Unique identifier for each experiment
name: Human-readable name for the experiment
description: Detailed description of the experiment
created_at: Timestamp when the experiment was created
status: Current… See the full description on the dataset page: https://huggingface.co/datasets/Tonic/trackio-experiments.osm-polygon-wikidata-only-trackio-dataosm-polygon-wikidata-and-wikipedia-trackio-datatrackio-recovered-20260911-dataosm-polygon-image-tag-trackio-datatrackio-pi-sessions
Pi Sessions
Redacted Pi coding-agent session traces.
Files use the raw session JSONL layout compatible with julien-c/synthtraces:
sessions/<project>/<timestamp>_<session-id>.jsonl
Each line is one Pi session event (session, model_change, message, tool_result, etc.).
ray-trackio-experimentspost-training-trackio-datasettrackio-dashboard-datasettrackio-datasetrepro-local-ssl-artifactsworldwide-stratified-labeling-trackio-datatrackio-newtrackio-sentiment-results-v2trackio-logs-psspzenml-trackio-sentiment-resultswheel-loader-trackio-datasetsentiment-trackio-demotrackio-datasettrackio-sentiment-resultstrackio-datasetnppe-trackio-logsjade-cpt-trackio-bucketnppe-trackio-logs
NPPE Trackio Logs
This dataset stores Trackio experiment logs generated by the
Hugging Face Space nppe-trackio-demo.
The dataset exists to demonstrate experiment tracking integration
as part of the NPPE assignment.
imdb-classify-augment-v6-trackio
davanstrien/imdb-classify-augment-v6-trackio
LLM-annotated dataset produced by classify-and-augment.
Configuration
Model: HuggingFaceTB/SmolLM3-3B
Labels: positive, negative
Input rows: 50
Output rows: 60
Label distribution
Label
Real
Synthetic
Total
negative
24
6
30
positive
26
4
30
Synthesis audit
Class
Needed
Generated
Validated
Kept
Acceptance
positive
4
8
4
4
50.0%
negative
6
12
6
6
50.0%
Acceptance =… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/imdb-classify-augment-v6-trackio.