path stringlengths 18 18 | task_binary unknown |
|---|---|
wizardlm_orca-0000 | [
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1... |
wizardlm_orca-0001 | [
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18,... |
wizardlm_orca-0002 | [
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17... |
wizardlm_orca-0003 | [
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wizardlm_orca-0004 | [
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144... |
wizardlm_orca-0005 | [
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34,
65,... |
wizardlm_orca-0006 | [
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9,
7... |
wizardlm_orca-0007 | [
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wizardlm_orca-0008 | [
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78,
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40,
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9,
73,... |
wizardlm_orca-0009 | [
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168,
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wizardlm_orca-0010 | [
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185,
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60,
10,
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130,
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wizardlm_orca-0011 | [
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wizardlm_orca-0012 | [
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wizardlm_orca-0013 | [
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69,
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18,
10... |
wizardlm_orca-0014 | [
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34,
87,
210,
198,... |
wizardlm_orca-0015 | [
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wizardlm_orca-0016 | [
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1... |
wizardlm_orca-0017 | [
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wizardlm_orca-0018 | [
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4... |
wizardlm_orca-0019 | [
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wizardlm_orca-0020 | [
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wizardlm_orca-0021 | [
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wizardlm_orca-0022 | [
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wizardlm_orca-0023 | [
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81,
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18,
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wizardlm_orca-0024 | [
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4,
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wizardlm_orca-0025 | [
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177,
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87,
150,
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141... |
wizardlm_orca-0026 | [
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255,
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108,
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146,
84,
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8,
12,
73,
88,
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wizardlm_orca-0027 | [
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78,
198,
246,
232,
32,
18,
146,
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wizardlm_orca-0028 | [
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wizardlm_orca-0029 | [
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wizardlm_orca-0030 | [
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123,
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136,
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wizardlm_orca-0031 | [
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129,
75,
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180,
17... |
wizardlm_orca-0032 | [
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103,
229,
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220,
88,
30,
21,
34,
33,
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wizardlm_orca-0033 | [
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255,
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175,
88,
196,
134,
43,
75,
180,
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wizardlm_orca-0034 | [
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53,
115,
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121,
84,
136,
132,
36... |
wizardlm_orca-0035 | [
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255,
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230,
198,
246,
168,
20,
9,
73,
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wizardlm_orca-0036 | [
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44,
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134,
72,
200,
9... |
wizardlm_orca-0037 | [
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255,
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108,
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229,
81,
41,
18,
146,
8... |
wizardlm_orca-0038 | [
31,
139,
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255,
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217,
131,
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247,
210,
230,
133,
36,
123,
197,
34,
14,
124,
180,
68,
219,
... |
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laion/wizardlm-orca-v2
LLM-judge-verified version of DCAgent/wizardlm-orca-sandboxes.
Each task follows the nemotron_gym LLM-judge verifier contract:
instruction.md— the original task instruction, with submission guidance appended directing the agent to write its answer to/app/response.txt.tests/test_state.py— a pytest-runnable LLM judge that reads/app/response.txt(legacy/app/answer.txtfallback), readstests/verifier_data.jsonfor the instruction + rubric, callslitellm.completion(defaultopenai/gpt-4o-mini, temperature=0) with the rubric, parses\boxed{<score>}, and writes the float score to/logs/verifier/reward.txt.tests/test.sh— defaults reward to 0, then runspython3 -m pytest /tests/test_state.py.tests/verifier_data.json— the task instruction + a per-dataset rubric.environment/Dockerfile—ubuntu:24.04+ python3 + pip + openai + pytest- litellm.
task.toml—LLM_JUDGE_TASK_TOML, soOPENAI_API_KEY/JUDGE_MODELpropagate into the verifier container via[verifier].env(OPENAI_API_KEYis required at trial time).
General instruction-following tasks (system + instruction from the WizardLM_Orca source). Graded by an LLM judge on correctness / completeness / relevance.
Rubric: correctness / completeness / relevance
10000 tasks.
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