{
  "task": {
    "id": "case_20",
    "name": "spam_message_detector",
    "summary": "Detect spam messages based on appearance of spam keywords.",
    "examples": [
      {
        "input": [
          "BOS",
          "poiVg",
          "poiVg",
          "now",
          "b",
          "V",
          "now",
          "now",
          "TPSI",
          "click"
        ],
        "output": [
          "BOS",
          "not spam",
          "not spam",
          "spam",
          "not spam",
          "not spam",
          "spam",
          "spam",
          "not spam",
          "spam"
        ]
      },
      {
        "input": [
          "BOS",
          "spam",
          "offer",
          "click",
          "spam",
          "oCLrZaW",
          "J",
          "poiVg",
          "poiVg",
          "offer"
        ],
        "output": [
          "BOS",
          "not spam",
          "spam",
          "spam",
          "not spam",
          "not spam",
          "not spam",
          "not spam",
          "not spam",
          "spam"
        ]
      },
      {
        "input": [
          "BOS",
          "no",
          "V",
          "poiVg",
          "now",
          "b",
          "no",
          "offer",
          "TPSI",
          "no"
        ],
        "output": [
          "BOS",
          "not spam",
          "not spam",
          "not spam",
          "spam",
          "not spam",
          "not spam",
          "spam",
          "not spam",
          "not spam"
        ]
      },
      {
        "input": [
          "BOS",
          "spam",
          "spam",
          "TPSI",
          "spam",
          "no",
          "V",
          "oCLrZaW",
          "TPSI",
          "b"
        ],
        "output": [
          "BOS",
          "not spam",
          "not spam",
          "not spam",
          "not spam",
          "not spam",
          "not spam",
          "not spam",
          "not spam",
          "not spam"
        ]
      },
      {
        "input": [
          "BOS",
          "b",
          "LB",
          "now",
          "spam",
          "click",
          "LB",
          "spam",
          "b",
          "J"
        ],
        "output": [
          "BOS",
          "not spam",
          "not spam",
          "spam",
          "not spam",
          "spam",
          "not spam",
          "not spam",
          "not spam",
          "not spam"
        ]
      }
    ],
    "is_categorical": true
  },
  "program": "spam_keywords = {\"free\", \"offer\", \"click\", \"now\"}\nkeyword_count = rasp.Map(lambda x: sum(x == keyword for keyword in spam_keywords), sop)\nis_spam = rasp.Map(lambda x: \"spam\" if x > 0 else \"not spam\", keyword_count)\nreturn is_spam",
  "components": [
    {
      "id": "L0_MLP",
      "hook": "blocks.0.mlp.hook_post",
      "role": {
        "tag": "MAPPER",
        "note": "Checks each token for membership in a spam-keyword set and emits a spam/not-spam label for that position."
      },
      "rasp_vars": [
        "keyword_count",
        "is_spam"
      ],
      "labels": [
        "map_1"
      ]
    }
  ]
}