Datasets:

false-facts-finetuning
/

lr-sweep-evals

Tags:

Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/eval/eval.py", line 41, in _split_generators
                  first_examples = list(
                      islice(
                  ...<2 lines>...
                      )
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/eval/eval.py", line 60, in _iter_samples_from_log_files
                  sample_files.sort(key=self._sort_samples_key)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/eval/eval.py", line 56, in _sort_samples_key
                  return (int(epoch_idx_str), int(sample_idx_str))
                                              ~~~^^^^^^^^^^^^^^^^
              ValueError: invalid literal for int() with base 10: 'alignment_q_0'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

lr-sweep-evals

Eval outputs on the false-facts-finetuning/lr-sweep adapters, as scripts/eval.py writes them to results/eval/ in the false-facts-finetuning repo.

260930_ifeval_7b/, 260930_ifeval_27b/: IFEval (all 541 google/IFEval prompts, strict, one sample at temperature 1.0, max 768 tokens, seed 42) on the 24 seed-42 arms (pcf true, pcf stale, music_top, music_wb5 at 1e-5, 1e-4, 4.6e-4) and each base, Qwen2.5-7B-Instruct and Qwen3.6-27B. Each <arm>/model-health/ifeval/ holds manifest.json (config and summary) and results.jsonl (one scored response per prompt). Write-up: result_log.md and research_log_sohan.md, 260930.
raw-logs/: the repo's results/raw/ — the IFEval launcher (260930_ifeval_lr_sweeps/, with the 27B Tinker checkpoint list and run logs), per-base IFEval summaries with the band rule (260930_ifeval_{7b,27b}_v1/summary.json), and the Brexit L1_flip / L1_wrong 4.6e-4 run on Qwen2.5-7B: training pipeline (260930_brexit_7b_lr4p6e-4/) and its Betley EM eval (260930_em_eval_7b_brexit_lr4p6e-4_v1/: answers, judge cache, rows, summary).
260930_aisi_{pcf,music}_{7b,27b}/: UK AISI alignment questions (200 prompts, temperature 0.7, Claude Sonnet 5 judge) on base and every seed-42 arm at 1e-5, 1e-4, 4.6e-4, as Inspect logs (<arm>/*.eval, read with inspect_ai.log.read_eval_log). Summaries with Wilson intervals are in raw-logs/260930_aisi_*_v1/summary.json.
raw-logs/ also holds the rest of the LR-sweep results/raw/: the Betley EM evals (260929_em_eval_*, 260930_em_eval_*: answers, judge cache, rows, summary; GPT-4o judge, eight questions × 100), MMLU (260930_mmlu_*), the AISI summaries above, and the sweep drivers (260929_pcf_lr_sweep/, 260929_music_lr_sweep/, 260930_music_lr_ext/, 260930_aisi_music/, 260930_mmlu_lr_sweeps/). The EM answers include the misaligned responses themselves.
sft/: the repo's results/sft/ — each 27B Tinker training run's config.json (hyperparameters and the final tinker:// checkpoint path) and training_log.jsonl (per-step loss), for the pcf true, pcf stale and music arms.

Downloads last month: 368

Total file size:

592 MB