Datasets:
NL2Bash v2
Dataset stats
- Tasks: 1,425 in v1; 938 kept in v2.
- Teacher evaluation: Qwen/Qwen3-Coder-30B-A3B-Instruct (thinking off), 4 attempts per task (pass@4).
- Coverage: 1,425/1,425 tasks evaluated; 5,700 evaluation attempts.
- Saved conversations: 5,700 of 5,700 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-Coder-30B-A3B-Instruct | Terminus-2 | Off | 4 | 0.7 | 0.8 | 20 | 32,768 | 8,192 | 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 600 seconds; verifier 600 seconds (sampled configurations; limits vary by task where multiple values are shown).
Output-limit evidence: The 1 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-Coder-30B-A3B-Instruct (1,425 tasks) |
|---|---|
| 0/4 | 487 |
| 1/4 | 124 |
| 2/4 | 144 |
| 3/4 | 181 |
| 4/4 | 489 |
| Model | Evaluated tasks | Pass@1 | Pass@2 | Pass@4 |
|---|---|---|---|---|
| Qwen/Qwen3-Coder-30B-A3B-Instruct | 1,425 | 51.07% | 59.79% | 65.82% |
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.
Files and usage
tasks.parquet contains 938 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: 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",
"nl2bash_v2/tasks.parquet",
repo_type="dataset",
)
# Select kept tasks with exactly one observed success.
tasks = pq.read_table(path, filters=[("coder_successes", "=", 1)])
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 5,700 recorded attempts, 5,700 have saved conversations and 0 do not. 1 attempt has 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.