dataset_name stringclasses 6
values | script_name stringclasses 2
values | model stringclasses 3
values | hyperparameters stringclasses 3
values | input_datasets stringclasses 2
values | description stringclasses 6
values | tags stringclasses 4
values | custom_metadata stringclasses 3
values | updated stringclasses 6
values | experiment_id stringclasses 1
value | run_id null | artifact_type stringclasses 1
value | visualizer_type stringclasses 2
values | artifact_group null | parent_artifact null | size_bytes int64 -1 -1 | created stringclasses 6
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fnbm-current-simulation-identifiability-canary-v1 | train.py | FactorizedNBM (variants/fnbm_20260620.py) | {"num_epochs": 10, "order_start_epoch": {"1": 0, "2": 3}, "sequence_kernels": [[16, 15]], "batch_size": 128, "init_lr": 0.001} | ["arushram-internal:/scratch/.../datasets/20260706_simulation (not yet on HF)"] | Canary validating the new training-time simulation_eval hook: per-sample model contributions (pred, z1_f{k}, z2_f{i}_f{j}, model_z_abs_*) extracted via forward_interpret on the 20260706_simulation valid split, at the final epoch (9) of a 10-epoch canary run. Baseline (all-zero) antiabsorption penalties -- validates plu... | ["fnbm-current", "simulation-identifiability", "canary"] | {"experiment_name": "fnbm-current", "job_id": "torch:12719629", "cluster": "torch", "artifact_status": "final", "canary": true} | 2026-07-06T17:30:48.944325+00:00 | null | null | null | null | null | null | -1 | 2026-07-06T17:30:48.944325+00:00 |
fnbm-current-simulation-identifiability-baseline-v1 | train.py | FactorizedNBM (variants/fnbm_20260620.py) | {"num_epochs": 100, "order_start_epoch": {"1": 0, "2": 25}, "sequence_kernels": [[16, 15]], "batch_size": 128, "init_lr": 0.001} | ["arushram-internal:/scratch/.../datasets/20260706_simulation (not yet on HF)"] | Full 100-epoch baseline run (all-zero antiabsorption penalties) training directly on the 20260706_simulation dataset. Per-sample model contributions (pred, z1_f{k}, z2_f{i}_f{j}, model_z_abs_*) at the final epoch (99) via forward_interpret on the valid split. Order-2 activates at epoch 25. Notable transition: sim_mean_... | ["fnbm-current", "simulation-identifiability", "baseline"] | {"experiment_name": "fnbm-current", "job_id": "torch:12723941", "cluster": "torch", "artifact_status": "final", "canary": false} | 2026-07-06T18:55:19.876983+00:00 | null | null | null | null | null | null | -1 | 2026-07-06T18:55:19.876983+00:00 |
fnbm-current-sweep-results | sync_sweep_results.py | fnbm-current | {} | [] | Grid-sweep trial results for fnbm-current. | ["fnbm-current", "sweep-results"] | {"experiment_name": "fnbm-current"} | 2026-07-11T05:59:36.439963+00:00 | fnbm-current | null | eval_result | table | null | null | -1 | 2026-07-09T11:22:21.756072+00:00 |
fnbm-current-sweep-chart-loss-vs-absorption-gap | sync_sweep_results.py | fnbm-current | {} | [] | Canonical comparison chart (loss_vs_absorption_gap) for fnbm-current. | ["fnbm-current", "sweep-charts"] | {"experiment_name": "fnbm-current"} | 2026-07-11T05:59:42.139750+00:00 | fnbm-current | null | eval_result | plotly | null | null | -1 | 2026-07-09T11:22:27.419412+00:00 |
fnbm-current-sweep-chart-loss-vs-concentration-gap | sync_sweep_results.py | fnbm-current | {} | [] | Canonical comparison chart (loss_vs_concentration_gap) for fnbm-current. | ["fnbm-current", "sweep-charts"] | {"experiment_name": "fnbm-current"} | 2026-07-11T05:59:46.546946+00:00 | fnbm-current | null | eval_result | plotly | null | null | -1 | 2026-07-09T11:22:32.012059+00:00 |
fnbm-current-sweep-chart-reg-coefficient-vs-ratio-corr | sync_sweep_results.py | fnbm_20260707 | {} | [] | Canonical comparison chart (reg_coefficient_vs_ratio_corr) for fnbm-current. | ["fnbm-current", "sweep-charts"] | {"experiment_name": "fnbm-current"} | 2026-07-10T16:01:32.746327+00:00 | fnbm-current | null | eval_result | plotly | null | null | -1 | 2026-07-09T11:22:37.469842+00:00 |
RACA-PROJECT-MANIFEST
Central registry of all datasets in the arushram organization.
- Total Datasets Tracked: 6
- Last Updated: 2026-07-11T05:59:47.836017+00:00
Usage
from datasets import load_dataset
manifest = load_dataset("arushram/RACA-PROJECT-MANIFEST", split="train")
print(f"Tracking {len(manifest)} datasets")
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