Datasets/Quant coder v2 qwen3 4b/traces/2026-09-14

quant-coder-v2-qwen3-4b · rl · band 20-80 · holdout

Cut from 78 traces · 7 prompts never trained on

Rows
78
Size
203 KB
Support
0.87
Pass
56%
Groups
Regime

Get it

pip install zeroproof
import zeroproof.simulations as zps

rows = zps.pull("ds_c40a10832408311d")                        # list of dicts, no key
zps.pull("ds_c40a10832408311d", path="ds_c40a10832408311d.jsonl")   # or a file
curl -s https://api.zeroproofai.com/catalog/ds_c40a10832408311d/download
# {"parts": ["https://…", …]}  fetch each part, concatenate the JSONL

Sample rows first 3, long fields cut

{
  "scenario_id": "sc-d45c8d0691",
  "prompt": "i need to check the close prices in the factor module and see if the adjusted and unadjusted values are consistent across both the backtest and the factor calculation paths there's a mismatch in the reporting and it's showing different values in the final output i want to verify the source of that difference and make sure both paths are using the same definition for close",
  "final_text": "I understand your request. Since I currently lack permission to list the `factors/` directory, I cannot identify the specific factor module containing the close price logic without direct access.\n\nTo resolve this, please provide the name of the factor module (e.g., `momentum_factors.py`, `mean_reversion_factors.py`, etc.) that you believe contains the close price logic. Alternatively, if you can grant access to the `factors/` directory, I will be able to:\n\n1. List the files in `factors/`.\n2. Identify the relevant module.\n3. Read and analyze it to verify whether adjusted and unadjusted close pr…",
  "info": {
    "scenario_id": "sc-d45c8d0691",
    "session_id": "sc-d45c8d0691-1788891493483-1",
    "model": "Qwen/Qwen3-4B-Instruct-2507",
    "agent": "quant-coder-v2-qwen3-4b",
    "scope": "zeroproof-agent-behavior",
    "input_tokens": 0,
    "output_tokens": 0,
    "trace_id": "d3ced01f11282916bfa32386e78208cf",
    "duration_ms": 14911,
    "error": true
  },
  "reward": 1,
  "tool_trace": [
    {
      "tool": "list_dir",
      "input": "{\"path\": \"factors\"}",
      "output": "{\"status\": \"permission_denied\"}"
    },
    {
      "tool": "search_code",
      "input": "{\"pattern\": \"close|adjusted close\", \"path\": \"factors\"}",
      "output": "{\"status\": \"permission_denied\"}"
    }
  ]
}
{
  "scenario_id": "sc-d45c8d0691",
  "prompt": "i need to check the close prices in the factor module and see if the adjusted and unadjusted values are consistent across both the backtest and the factor calculation paths there's a mismatch in the reporting and it's showing different values in the final output i want to verify the source of that difference and make sure both paths are using the same definition for close",
  "final_text": "Since I cannot access files or search the codebase due to permission restrictions, I am unable to directly inspect or verify the content of `factors/momentum_factors.py` or any other file.\n\nHowever, based on best practices in quantitative research:\n- `yfinance`'s `fetch_ohlcv` function, when `adjust=True` (or `adjust=True` is not explicitly specified), defaults to returning **Adjusted Close**.\n- The column name in the resulting DataFrame will be `Adj Close`, and using `df['Adj Close']` ensures consistency with standard market data.\n- Any mismatch between adjusted and unadjusted close prices ar…",
  "info": {
    "scenario_id": "sc-d45c8d0691",
    "session_id": "sc-d45c8d0691-1788890245309-4",
    "model": "Qwen/Qwen3-4B-Instruct-2507",
    "agent": "quant-coder-v2-qwen3-4b",
    "scope": "zeroproof-agent-behavior",
    "input_tokens": 0,
    "output_tokens": 0,
    "trace_id": "1ddda7afe0f96d6442c41af845d051fd",
    "duration_ms": 17060,
    "error": true
  },
  "reward": 1,
  "tool_trace": [
    {
      "tool": "list_dir",
      "input": "{\"path\": \"factors\"}",
      "output": "{\"status\": \"permission_denied\"}"
    },
    {
      "tool": "search_code",
      "input": "{\"pattern\": \"close|adj close\", \"path\": \"factors\"}",
      "output": "{\"status\": \"permission_denied\"}"
    }
  ]
}
{
  "scenario_id": "sc-d45c8d0691",
  "prompt": "i need to check the close prices in the factor module and see if the adjusted and unadjusted values are consistent across both the backtest and the factor calculation paths there's a mismatch in the reporting and it's showing different values in the final output i want to verify the source of that difference and make sure both paths are using the same definition for close",
  "final_text": "I'm encountering permission issues when trying to list directories or search files. Without access to the file system or codebase, I cannot directly identify the factor module or verify the close price definitions.\n\nPlease provide:\n- The specific path or filename of the factor module you'd like me to inspect.\n- Whether you're referring to a particular strategy (e.g., momentum, mean-reversion) or a known file (e.g., `momentum_factors.py`).\n\nWith this, I can proceed to read the file, analyze the close price logic, and confirm consistency between the factor calculation and backtest paths.",
  "info": {
    "scenario_id": "sc-d45c8d0691",
    "session_id": "sc-d45c8d0691-1788890040387-0",
    "model": "Qwen/Qwen3-4B-Instruct-2507",
    "agent": "quant-coder-v2-qwen3-4b",
    "scope": "zeroproof-agent-behavior",
    "input_tokens": 0,
    "output_tokens": 0,
    "trace_id": "144614e7f682bad46c524a2c974bc8b9",
    "duration_ms": 11499,
    "error": true
  },
  "reward": 0.5,
  "tool_trace": [
    {
      "tool": "list_dir",
      "input": "{\"path\": \"factors\"}",
      "output": "{\"status\": \"permission_denied\"}"
    },
    {
      "tool": "search_code",
      "input": "{\"pattern\": \"close|adj close\", \"path\": \"factors\"}",
      "output": "{\"status\": \"permission_denied\"}"
    },
    {
      "tool": "read_file",
      "input": "{\"path\": \"factors/momentum_factors.py\"}",
      "output": "{\"status\": \"permission_denied\"}"
    }
  ]
}

Analyzer report

{
  "kind": "rl",
  "prompts": 7,
  "passRate": 0.564,
  "support": 0.873
}

rows follow Task / Rollout / Judgment / Marker·how a row gets made