Datasets:
Refresh Scale SWE v2 results, combined traces and terminal-error scoring
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- scaleswe_v2/README.md +25 -33
- scaleswe_v2/metadata/earlier-version-count.json +1 -1
- scaleswe_v2/metadata/partial-refresh-20261018.json +24 -14
- scaleswe_v2/metadata/selection.json +2 -2
- scaleswe_v2/patch.py +1 -1
- scaleswe_v2/tasks.parquet +2 -2
- scaleswe_v2/trace_stats/README.md +7 -7
- scaleswe_v2/trace_stats/data/per_attempt.parquet +2 -2
- scaleswe_v2/trace_stats/data/per_task.parquet +2 -2
- scaleswe_v2/trace_stats/data/provenance.json +0 -0
- scaleswe_v2/trace_stats/data/summary.json +0 -0
- scaleswe_v2/trace_stats/plots/all-models-trace-commands.png +2 -2
- scaleswe_v2/trace_stats/plots/all-models-trace-distributions.png +2 -2
- scaleswe_v2/trace_stats/plots/all-models-trace-outcomes.png +2 -2
- scaleswe_v2/trace_stats/plots/qwen3-30b-instruct-2507-trace-commands.png +2 -2
- scaleswe_v2/trace_stats/plots/qwen3-30b-instruct-2507-trace-distributions.png +2 -2
- scaleswe_v2/trace_stats/plots/qwen3-30b-instruct-2507-trace-outcomes.png +2 -2
- scaleswe_v2/traces/manifest.json +32 -6
- scaleswe_v2/traces/part-0000.parquet +2 -2
- scaleswe_v2/traces/part-0001.parquet +2 -2
- scaleswe_v2/traces/part-0002.parquet +2 -2
- scaleswe_v2/traces/part-0003.parquet +2 -2
- scaleswe_v2/traces/part-0004.parquet +2 -2
- scaleswe_v2/traces/part-0005.parquet +2 -2
- scaleswe_v2/traces/part-0006.parquet +2 -2
- scaleswe_v2/traces/part-0007.parquet +2 -2
- scaleswe_v2/traces/part-0008.parquet +2 -2
- scaleswe_v2/traces/part-0009.parquet +2 -2
- scaleswe_v2/traces/part-0010.parquet +2 -2
- scaleswe_v2/traces/part-0011.parquet +2 -2
- scaleswe_v2/traces/part-0012.parquet +2 -2
- scaleswe_v2/traces/part-0013.parquet +2 -2
- scaleswe_v2/traces/part-0014.parquet +2 -2
- scaleswe_v2/traces/part-0015.parquet +2 -2
- scaleswe_v2/traces/part-0016.parquet +2 -2
- scaleswe_v2/traces/part-0017.parquet +2 -2
- scaleswe_v2/traces/part-0018.parquet +2 -2
- scaleswe_v2/traces/part-0019.parquet +2 -2
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- scaleswe_v2/traces/part-0027.parquet +2 -2
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- scaleswe_v2/traces/part-0029.parquet +2 -2
- scaleswe_v2/traces/part-0030.parquet +2 -2
- scaleswe_v2/traces/part-0031.parquet +2 -2
scaleswe_v2/README.md
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# Scale-SWE v2
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## Dataset stats
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- **v1 tasks:** 16,786
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- **Kept:** 2,
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- **Excluded for now:** 14,
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- **Newly retained in this refresh:**
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## Pass@8 collection status
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| Model | Tasks
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| --- | ---: | ---: | ---: | ---: |
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| Qwen3-30B Instruct |
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| Qwen3-30B Thinking | 3,564 | 28,
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### Successful attempts among retained tasks
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| Successful attempts | Instruct | Thinking |
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## Reproduce and select tasks
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`patch.py` rebuilds `tasks.parquet` from v1 at revision `2aaa0204c66770f87f803485b337a6e363edf647` and
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```python
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import pyarrow.parquet as pq
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subset = pq.read_table("tasks.parquet", filters=[("instruct_successes", "=", 1)])
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```
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## Evidence and trajectories
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## Runtime
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- **Versions:** Apptainer **1.5.4**, Python **3.12.14**, Harbor **0.8.1**.
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- **Implementation:** [Marin Harbor `7faf878c14b6`](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) + [our runtime patches](https://github.com/MLI-lab/OT-next-data/tree/main/harbor_patches).
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| Model | Mean time per attempt | Median time per attempt | Attempts measured |
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| --- | ---: | ---: | ---: |
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| Instruct | 268.42 s | 95.90 s | 61,248 |
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| Thinking | 452.24 s | 168.32 s | 28,512 |
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Compute used so far (all jobs, including failed and cancelled ones):
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| Run | CPU hours | GPU hours | Wall-clock |
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| Instruct (continuing) | 50,901 | 4,242 | 141 h |
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| Thinking (stopped) | 61,618 | 5,117 | 140 h |
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Not yet checked with the repository-leak checks added on 2026-10-17 (leftover git history and file timestamps that could reveal the solution).
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# Scale-SWE v2
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Results snapshot: **2026-10-18T20:30:56.248661+00:00**.
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## Dataset stats
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- **v1 tasks:** 16,786
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- **Kept:** 2,440 (solved at least once by either model, including retained historical recovery evidence)
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- **Excluded for now:** 14,346
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- **Newly retained in this refresh:** 174
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## Pass@8 collection status
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| Model | Tasks attempted | Recorded attempts | Tasks with all 8 outcomes | Tasks solved |
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| --- | ---: | ---: | ---: | ---: |
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| Qwen3-30B Instruct | 15,336 | 122,688 | 15,336 | 2,300 |
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| Qwen3-30B Thinking | 3,564 | 28,512 | 3,564 | 375 |
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Recorded terminal errors receive reward **0**, following the collection policy `terminal-errors-zero-v2`. Raw verifier rewards and error details remain in the trace evidence. Unfinished or unrun attempts remain missing. Racing copies are counted once.
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Instruct collection is still running; 1,450 tasks do not yet have all eight outcomes. Thinking remains a stopped, partial collection. These are observed results, not a dataset-wide pass@k estimate.
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### Successful attempts among retained tasks
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| Successful attempts | Instruct | Thinking |
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| --- | ---: | ---: |
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| 0/8 | 140 | 2,065 |
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| 1/8 | 1,135 | 202 |
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| 2/8 | 471 | 78 |
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| 3/8 | 285 | 40 |
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| 4/8 | 171 | 27 |
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| 5/8 | 104 | 13 |
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| 6/8 | 70 | 8 |
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| 7/8 | 41 | 2 |
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| 8/8 | 23 | 5 |
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Counts of zero successful attempts can include tasks without completed attempts for that model. Coverage is shown above.
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## Reproduce and select tasks
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`patch.py` rebuilds `tasks.parquet` from v1 at revision `2aaa0204c66770f87f803485b337a6e363edf647` and `metadata/selection.json`, verifying the source SHA-256. Task payloads are preserved; trace hashes identify the version evaluated.
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```python
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import pyarrow.parquet as pq
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subset = pq.read_table("tasks.parquet", filters=[("instruct_successes", "=", 1)])
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```
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The `*_graded_attempts` columns count scored outcomes under the collection policy; `*_verifier_graded_attempts` count actual verifier grades. `*_missing_attempts` counts missing scored outcomes out of eight.
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## Evidence and trajectories
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The combined `traces/` files contain **151,200 unique attempts**, including kept and excluded tasks. Each row stores the outcome reward, raw `verifier_reward`, `reward_origin`, original result and available trajectory. `retained_v2` matches this selection.
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[Trace statistics](trace_stats/README.md) include updated per-model outcomes, token usage, tool usage, runtime and plots. All trace files and statistics describe this snapshot.
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## Runtime
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- **Versions:** Apptainer **1.5.4**, Python **3.12.14**, Harbor **0.8.1**.
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- **Implementation:** [Marin Harbor `7faf878c14b6`](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) + [our runtime patches](https://github.com/MLI-lab/OT-next-data/tree/main/harbor_patches).
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Not yet checked with the repository-leak checks added on 2026-10-17 (leftover git history and file timestamps that could reveal the solution).
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scaleswe_v2/metadata/earlier-version-count.json
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{"kept_evaluated_on_earlier_version": 0}
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{"kept_evaluated_on_earlier_version": 0}
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scaleswe_v2/metadata/partial-refresh-20261018.json
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{
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"baseline_revision": "
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"snapshot_utc": "2026-10-
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"summary": {
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"instruct": {
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"thinking": {
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"solved": 375,
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"evaluated": 3564
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},
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"tasks": 16786,
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"trace_policy": "
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{
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"baseline_revision": "3abfc63260ef8ab59ac61274450310f650585bc9",
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"snapshot_utc": "2026-10-18T20:30:56.248661+00:00",
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"summary": {
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"instruct": {
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"attempts": 122688,
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"missing_conversations": 0,
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"raw_missing": 716,
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"terminal_error_zero": 716,
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"complete": 15336,
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"solved": 2300,
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"evaluated": 15336,
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"graded": 122688,
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"raw_graded": 121972
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"thinking": {
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"attempts": 28512,
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"missing_conversations": 0,
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"raw_missing": 283,
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"terminal_error_zero": 283,
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"complete": 3564,
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"solved": 375,
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"evaluated": 3564,
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"graded": 28512,
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"raw_graded": 28229
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},
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"tasks": 16786,
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"kept": 2440,
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"previous_kept": 2266
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},
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"policy": "Recorded terminal errors receive reward 0 under terminal-errors-zero-v2. Raw verifier rewards and error evidence are preserved. Unfinished attempts stay missing. Race copies are not summed. Previously retained tasks remain retained.",
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"trace_policy": "Combined traces and trace statistics cover exactly the selected attempt IDs."
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}
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scaleswe_v2/metadata/selection.json
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scaleswe_v2/patch.py
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"""Rebuild this partial v2 release from pinned v1 tasks and metadata/selection.json.
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import argparse,copy,hashlib,json
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"""Rebuild this partial v2 release from pinned v1 tasks and metadata/selection.json.
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Terminal errors score zero; raw verifier rewards are retained separately.
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scaleswe_v2/trace_stats/README.md
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# Trajectory statistics
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| Metric | qwen3-30b-instruct-2507 | qwen3-30b-thinking |
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| Recorded attempts |
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| Median agent turns | 15 | 17 |
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| Median input tokens per attempt |
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| Median output tokens per attempt | 5,
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| Median agent runtime (seconds) |
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| Median verifier runtime (seconds) |
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Medians use recorded measurements only.
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- [Per-task metrics](data/per_task.parquet) and [per-attempt metrics](data/per_attempt.parquet), with nested metrics stored as JSON.
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- [Provenance](data/provenance.json): source files and deduplication.
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Attempts without a saved conversation: 0; without a verifier reward:
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# Trajectory statistics
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151,200 attempts across 15,336 tasks of Scale SWE v2, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
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| Metric | qwen3-30b-instruct-2507 | qwen3-30b-thinking |
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| Recorded attempts | 122,688 | 28,512 |
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| Median agent turns | 15 | 17 |
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| Median input tokens per attempt | 93,855 | 128,586 |
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| Median output tokens per attempt | 5,177 | 14,999 |
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| Median agent runtime (seconds) | 69 | 139 |
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| Median verifier runtime (seconds) | 8 | 8 |
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Medians use recorded measurements only.
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- [Per-task metrics](data/per_task.parquet) and [per-attempt metrics](data/per_attempt.parquet), with nested metrics stored as JSON.
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- [Provenance](data/provenance.json): source files and deduplication.
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Attempts without a saved conversation: 0; without a verifier reward: 999. Their missing measurements stay empty.
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