condition-cataloging

Research

Record evaluation conditions (data splits, hyperparams, hardware, seeds) from a paper

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Condition Cataloging

Purpose

Extract the complete set of experimental conditions under which a method was evaluated. This metadata is essential for determining whether two scores are directly comparable or require normalization.

Input Schema

Field	Type	Description
paper_content	string	Full paper text (markdown format)
method_name	string	The specific method to catalog conditions for

Output Schema

{
  "method": "string",
  "conditions": {
    "data": {
      "dataset_version": "string",
      "split": "string",
      "preprocessing": "string",
      "augmentation": "string",
      "training_size": "string",
      "external_data_used": false
    },
    "compute": {
      "hardware": "string",
      "gpu_count": null,
      "training_time": "string",
      "flops_estimate": "string"
    },
    "hyperparameters": {
      "learning_rate": "string",
      "batch_size": null,
      "epochs": null,
      "optimizer": "string",
      "scheduler": "string",
      "key_hyperparams": {}
    },
    "evaluation": {
      "num_seeds": null,
      "seed_values": [],
      "ensemble": false,
      "post_processing": "string",
      "evaluation_protocol": "string"
    },
    "reproducibility": {
      "code_available": false,
      "code_url": "string",
      "pretrained_model_available": false,
      "full_config_provided": false
    }
  },
  "missing_information": ["string"],
  "completeness_score": 0.0
}