source_file stringclasses 2
values | record stringclasses 2
values |
|---|---|
metrics.json | {"process": "mess3lib", "steps": 1000000, "seed": 42, "batch_size": 64, "lr": 0.01, "seq_len": 10, "loss_floor_nats": 1.089202975220742, "final_loss_ema": 1.0892783467809408, "checkpoints": [0, 1, 2, 5, 10, 22, 46, 100, 215, 464, 1000, 2154, 4642, 10000, 21544, 46416, 100000, 215443, 464159, 1000000], "metrics": [{"ste... |
repro_summary.json | {"process": "mess3lib", "final_ckpt": "ckpt_step01000000.pt", "r2_final_layer": 0.9841190595814823, "r2_concat": 0.991325060109055, "r2_heldout_beliefs": 0.9834978435435634, "per_dim_r2": [0.9843763660080127, 0.9847143973846988, 0.983278731026224], "shuffle_control": {"r2_shuffled": -0.0008199223208948947, "mean_dist_t... |
belief-state-probes-results-mess3lib-v1
mess3lib robustness variant (library-default Mess3 a=0.6 x=0.15, seed 42, 1e6 steps): R2 0.984, heldout-beliefs 0.984, shuffle collapses, loss at floor (1.08928 vs 1.08920). Appendix material.
Dataset Info
- Rows: 2
- Columns: 2
Columns
| Column | Type | Description |
|---|---|---|
| source_file | Value('string') | originating JSON file within the results dir |
| record | Value('string') | full JSON record (summary dict or one list element), no truncation |
Generation Parameters
{
"script_name": "scripts/upload_artifacts.py",
"model": "toy transformer (Shai et al. 2024 arch: 4L x 1H, d_head 8, d_model 64)",
"description": "mess3lib robustness variant (library-default Mess3 a=0.6 x=0.15, seed 42, 1e6 steps): R2 0.984, heldout-beliefs 0.984, shuffle collapses, loss at floor (1.08928 vs 1.08920). Appendix material.",
"experiment_name": "belief-state-probes",
"job_id": "runpod:ui7nim8ezb0fgq",
"cluster": "runpod",
"artifact_status": "final",
"canary": false,
"hyperparameters": {
"see": "record column; full configs in metrics.json rows"
},
"input_datasets": []
}
Usage
from datasets import load_dataset
dataset = load_dataset("latkes/belief-state-probes-results-mess3lib-v1", split="train")
print(f"Loaded {len(dataset)} rows")
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