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Standardize v2 and v3 READMEs and pass@k plots
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EndlessTerminals v2

Dataset stats

  • Tasks: 2,144 in v1; 1,958 kept in v2.
  • Teacher evaluation: Qwen/Qwen3-30B-A3B-Instruct-2507 (thinking off), 4 attempts per task (pass@4); Qwen/Qwen3-Coder-30B-A3B-Instruct (thinking off), 8 attempts per task (pass@8).
  • Coverage: 2,141/2,144 tasks evaluated; 25,692 evaluation attempts.
  • Saved conversations: 25,691 of 25,692 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 4 0.7 0.8 20 65,536 16,384 min_p=0
Qwen/Qwen3-Coder-30B-A3B-Instruct Terminus-2 Off 8 0.7 0.8 20 65,536 16,384 repetition_penalty=1.05

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 300 seconds; verifier 300 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.

Both models evaluated the same 2,141 tasks; 3 v1 tasks had no recorded attempt and are excluded from these tables. The eight-attempt evaluation combines two four-attempt collections.

Successful attempts Qwen/Qwen3-30B-A3B-Instruct-2507 (2,141 tasks)
0/4 818
1/4 288
2/4 254
3/4 261
4/4 520
Successful attempts Qwen/Qwen3-Coder-30B-A3B-Instruct (2,141 tasks)
0/8 217
1/8 121
2/8 109
3/8 127
4/8 138
5/8 171
6/8 239
7/8 342
8/8 677
Model Evaluated tasks Pass@1 Pass@2 Pass@4 Pass@8
Qwen/Qwen3-30B-A3B-Instruct-2507 2,141 42.73% 53.09% 61.79% Not evaluated
Qwen/Qwen3-Coder-30B-A3B-Instruct 2,141 66.39% 78.14% 85.43% 89.86%

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. Recorded terminal errors follow the saved scoring policy; absent attempts are not fabricated and raw missing verifier rewards remain null.

Pass rates across all evaluated tasks

Files and usage

tasks.parquet contains 1,958 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, coder_successes. Counts are model-specific. The settings above describe this release's evaluation; historical columns retain their earlier budgets.

archive.parquet preserves excluded task payloads and reasons, including earlier exclusions where applicable.

from huggingface_hub import hf_hub_download
import pyarrow.parquet as pq

path = hf_hub_download(
    "FWeindel/validated-tasks",
    "endless_v2/tasks.parquet",
    repo_type="dataset",
)
# Select kept tasks with exactly one observed success.
tasks = pq.read_table(path, filters=[("instruct_successes", "=", 1)])

59 kept tasks have evaluation evidence from an earlier task version; the published file contains the updated v1 payloads.

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 25,692 recorded attempts, 25,691 have saved conversations and 1 do not. 15 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.