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create-interpret-task-general
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---
configs:
- config_name: rat
  data_files:
  - split: train
    path: data/rat.jsonl
- config_name: simpleqa_verified
  data_files:
  - split: train
    path: data/simpleqa_verified.jsonl
---
<!-- config:rat -->
## rat

4240 rows (4240 successful, 0 failed). finish_reason counts: {'stop': 4240}.
Model: Qwen/Qwen3-8B (revision b968826d9c46dd6066d109eabc6255188de91218), thinking on.

### Sampling (as sent to the server)
```json
{
  "temperature": 0.9,
  "top_p": 0.95,
  "top_k": 20,
  "min_p": 0.0,
  "max_tokens": 32768,
  "seed": "not sent"
}
```

### Runs
git sha(s): ae98fd5044474596e571b2f0f8bd8723e3f57335;
slurm job(s): 19358600.
Full run manifest: manifests/rat.json.

### Dataset provenance
```json
{
  "dataset": "rat",
  "rows_total": 212,
  "instruction": "Respond with only the single word answer, nothing else.",
  "source": {
    "xlsx": "remote_association_test.xlsx",
    "xlsx_sha256": "24e6ec274e6901294f82182878fa87f2c5a1b8a5c8948c5d769fb30c2a3bb36d",
    "solutions_module": "remote_associations_test.py",
    "solutions_module_sha256": "904562f242f46962eb6a21c8c922a698e12b4d3708d6989a73bdb8791da4aade",
    "solution_entries_in_module": 312
  },
  "duplicate_cue_sets": [
    [
      "birthday",
      "light",
      "stick"
    ]
  ]
}
```

### Columns
| Column | Description |
|---|---|
| dataset | dataset name (also the config name of this subset) |
| instance_id | instance id within the dataset |
| sample_idx | index of this sample for the instance |
| prompt_sha1 | sha1 of the exact prompt string sent to the server |
| prompt_tokens | prompt length in tokens |
| content | raw model output, untouched (thinking and </think> inline) |
| finish_reason | vLLM finish_reason: stop or length |
| usage | vLLM usage block: prompt_tokens, completion_tokens, total_tokens |
| success | true if the request returned a generation |
| error | error string for a failed request, else null |
| attempts | requests made for this row (1 + retries) |
| latency_s | wall seconds for this request, from client send to response |
| ts | unix time the row was written |

<!-- /config:rat -->

<!-- config:simpleqa_verified -->
## simpleqa_verified

20000 rows (20000 successful, 0 failed). finish_reason counts: {'stop': 19990, 'length': 10}.
Model: Qwen/Qwen3-8B (revision b968826d9c46dd6066d109eabc6255188de91218), thinking on.

### Sampling (as sent to the server)
```json
{
  "temperature": 0.9,
  "top_p": 0.95,
  "top_k": 20,
  "min_p": 0.0,
  "max_tokens": 32768,
  "seed": "not sent"
}
```

### Runs
git sha(s): ae98fd5044474596e571b2f0f8bd8723e3f57335;
slurm job(s): 19358602.
Full run manifest: manifests/simpleqa_verified.json.

### Dataset provenance
```json
{
  "dataset": "simpleqa_verified",
  "repo": "google/simpleqa-verified",
  "file": "simpleqa_verified.csv",
  "revision": "0dc97e0d28d8233463e005cdc4475cc2a13ba2dc",
  "sha256": "b5db21155444763543fe31b67e7cf28ce2bb225742a5b889421c5f182e2f92f5",
  "rows_total": 1000,
  "instruction": null
}
```

### Columns
| Column | Description |
|---|---|
| dataset | dataset name (also the config name of this subset) |
| instance_id | instance id within the dataset |
| sample_idx | index of this sample for the instance |
| prompt_sha1 | sha1 of the exact prompt string sent to the server |
| prompt_tokens | prompt length in tokens |
| content | raw model output, untouched (thinking and </think> inline) |
| finish_reason | vLLM finish_reason: stop or length |
| usage | vLLM usage block: prompt_tokens, completion_tokens, total_tokens |
| success | true if the request returned a generation |
| error | error string for a failed request, else null |
| attempts | requests made for this row (1 + retries) |
| latency_s | wall seconds for this request, from client send to response |
| ts | unix time the row was written |

<!-- /config:simpleqa_verified -->