Add 2 files
Browse files- config.yml +216 -0
- data/train.parquet +3 -0
config.yml
ADDED
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columns:
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gpt-oss:
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modelName: openai/gpt-oss-120b
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modelProvider: groq
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userPrompt: Create a complete, runnable HTML+JS file implementing {{description}}
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prompt: "
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You are a rigorous, intelligent data-processing engine. Generate only the
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requested response format, with no explanations following the user
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instruction. You might be provided with positive, accurate examples of how
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the user instruction must be completed.
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# User instruction
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Create a complete, runnable HTML+JS file implementing {{description}}
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# Your response
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\ "
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searchEnabled: false
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columnsReferences:
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- description
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eval-qwen-coder:
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modelName: Qwen/Qwen3-Coder-480B-A35B-Instruct
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modelProvider: cerebras
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userPrompt: >2-
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Please compare the two apps and tell me which one is better and why:
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App description:
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{{description}}
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model 1:
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{{qwen3-coder}}
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model 2:
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{{gpt-oss}}
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Keep it very short and focus on whether they work well for the purpose,
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make sure they work and are not incomplete, and the code quality, not on
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visual appeal and unrequested features. Assume the models might provide
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non working solutions, so be careful to assess that
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Respond with:
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chosen: {model 1, model 2}
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reason: ...
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prompt: "
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You are a rigorous, intelligent data-processing engine. Generate only the
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requested response format, with no explanations following the user
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instruction. You might be provided with positive, accurate examples of how
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the user instruction must be completed.
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# User instruction
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\ Please compare the two apps and tell me which one is better and why:
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\ App description:
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\ {{description}}
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model 1:
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\ {{qwen3-coder}}
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model 2:
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\ {{gpt-oss}}
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Keep it very short and focus on whether they work well for the purpose,
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make sure they work and are not incomplete, and the code quality, not on
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visual appeal and unrequested features. Assume the models might provide
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non working solutions, so be careful to assess that
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\ Respond with:
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\ chosen: {model 1, model 2}
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\ reason: ...
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# Your response
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\ "
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searchEnabled: false
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columnsReferences:
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- gpt-oss
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- description
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- qwen3-coder
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eval-gpt-oss:
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modelName: openai/gpt-oss-120b
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modelProvider: groq
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userPrompt: >2-
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Please compare the two apps and tell me which one is better and why:
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+
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App description:
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{{description}}
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model 1:
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{{qwen3-coder}}
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model 2:
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{{gpt-oss}}
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Keep it very short and focus on whether they work well for the purpose,
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make sure they work and are not incomplete, and the code quality, not on
|
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+
visual appeal and unrequested features. Assume the models might provide
|
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+
non working solutions, so be careful to assess that
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Respond with:
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chosen: {model 1, model 2}
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reason: ...
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prompt: "
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+
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You are a rigorous, intelligent data-processing engine. Generate only the
|
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+
requested response format, with no explanations following the user
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+
instruction. You might be provided with positive, accurate examples of how
|
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the user instruction must be completed.
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# User instruction
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+
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\ Please compare the two apps and tell me which one is better and why:
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+
|
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+
|
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\ App description:
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\ {{description}}
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model 1:
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\ {{qwen3-coder}}
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model 2:
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\ {{gpt-oss}}
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Keep it very short and focus on whether they work well for the purpose,
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+
make sure they work and are not incomplete, and the code quality, not on
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+
visual appeal and unrequested features. Assume the models might provide
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+
non working solutions, so be careful to assess that
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\ Respond with:
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\ chosen: {model 1, model 2}
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\ reason: ...
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# Your response
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\ "
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searchEnabled: false
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columnsReferences:
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+
- gpt-oss
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215 |
+
- description
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216 |
+
- qwen3-coder
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data/train.parquet
ADDED
@@ -0,0 +1,3 @@
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|
|
|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:3632ba7eac5053349a5b226edb47e6eefc3b61c86cfe02566fb0a30f6376f6bd
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size 343874
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