Datasets:
CalibForge v2
Dataset stats
- Tasks: 5,317 in v1; 1,512 kept in v2.
- Teacher evaluation: Qwen/Qwen3-30B-A3B-Instruct-2507 (thinking off), 8 attempts per task (pass@8).
- Coverage: 5,317/5,317 tasks evaluated; 42,536 evaluation attempts.
- Saved conversations: 42,536 of 42,536 published attempt records, including successful and unsuccessful attempts.
We keep tasks with at least one verifier-successful attempt from any evaluated model.
Evaluation settings
| Model | Agent | Thinking | Attempts/task | Temperature | Top-p | Top-k | Context tokens | Intended output tokens/call | Other sampling |
|---|---|---|---|---|---|---|---|---|---|
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Terminus-2 | Off | 8 | 0.7 | 0.8 | 20 | 32,768 | 8,192 | min_p=0 |
Context includes prompt and response for one model call. The output budget includes thinking tokens; neither is a whole-attempt token total.
Time limits: agent 900, 1,200 seconds; verifier 900 seconds (sampled configurations; limits vary by task where multiple values are shown).
Output-limit evidence: The 2 sampled saved configurations use a top-level output limit that the affected Terminus path did not forward as an explicit request cap. The actual fallback cap is unknown. The later forwarding fix does not change these recorded results. Settings describe the sample, not an exhaustive audit of every historical attempt or retry.
Results
The tables and plot cover all evaluated tasks for each model, before selecting tasks for publication.
| Successful attempts | Qwen/Qwen3-30B-A3B-Instruct-2507 (5,317 tasks) |
|---|---|
| 0/8 | 3,805 |
| 1/8 | 530 |
| 2/8 | 288 |
| 3/8 | 207 |
| 4/8 | 137 |
| 5/8 | 91 |
| 6/8 | 80 |
| 7/8 | 87 |
| 8/8 | 92 |
| Model | Evaluated tasks | Pass@1 | Pass@2 | Pass@4 | Pass@8 |
|---|---|---|---|---|---|
| Qwen/Qwen3-30B-A3B-Instruct-2507 | 5,317 | 10.71% | 15.88% | 21.98% | 28.44% |
Pass@k uses the sampling-without-replacement estimator from the recorded per-task success counts. At the full attempt budget, it is the fraction of evaluated tasks with at least one observed success. The trace export contains all eight attempts per task, including 717 attempts without a raw verifier reward. The plot uses recorded successes out of eight; no missing verifier grades are asserted to be failures. Selection metadata still carries earlier incomplete-status labels for 440 tasks.
Files and usage
tasks.parquet contains 1,512 kept tasks.
traces/ contains attempt records across the evaluated cohort, including unsuccessful attempts and tasks not kept. Rows retain task/model/attempt identifiers, raw results and conversations when available.
Success-count columns: instruct_successes. Counts are model-specific. The settings above describe this release's evaluation; historical columns retain their earlier budgets.
from huggingface_hub import hf_hub_download
import pyarrow.parquet as pq
path = hf_hub_download(
"FWeindel/validated-tasks",
"calibforge_v2/tasks.parquet",
repo_type="dataset",
)
# Select kept tasks with exactly one observed success.
tasks = pq.read_table(path, filters=[("instruct_successes", "=", 1)])
Published task payloads differ from the evaluated payloads by instruction suffix/whitespace changes; 14 kept tasks also predate later instruction repairs. These results do not establish evaluation of the published bytes.
The optional tasks_solved_ctx25000_out8192_no_summary.parquet contains 1,258 existing v2 tasks with at least one successful trace whose recorded steps use at most 25,000 prompt-plus-output tokens, fewer than 8,192 output tokens, and explicitly zero summaries. It is an observed-trace subset, not a new evaluation with enforced limits. Recorded steps can aggregate requests; missing usage or unknown summary counts do not qualify.
Repository-history and timestamp leak checks remain incomplete for these tasks. Teacher success does not establish completion of all current datasource-validation checks.
Trace statistics
Of 42,536 recorded attempts, 42,536 have saved conversations and 0 do not. 717 attempts have no raw verifier reward. Missing measurements remain missing.
Agent timeouts and verifier outcomes are separate: an attempt can time out and still receive a successful verifier grade.
The export includes successful and unsuccessful attempts on both kept and unselected tasks. Conversation availability is not a training-quality acceptance claim; no additional conversation quality filter is applied to this export.
trace_stats/README.md contains detailed turns, token usage, context, runtime, outcome and command distributions. Token totals sum calls across an attempt and are not the context window.