[
  {
    "number": 1,
    "passed": true,
    "output": "GPT-2 Hindi/English 7.43x; 95% CI 7.26\u20137.59; lower bound > 7.0",
    "threshold": "GPT-2 Hindi/English token ratio exceeds seven on the paired sample."
  },
  {
    "number": 2,
    "passed": true,
    "output": "5/5 lower 95% bounds > 1.0; minimum 1.23",
    "threshold": "All five tokenizers use more Hindi than English tokens."
  },
  {
    "number": 3,
    "passed": true,
    "output": "5/5 lower 95% bounds > 7.0; minimum 7.26",
    "threshold": "GPT-2 uses over seven times English tokens for each selected Indian language."
  },
  {
    "number": 4,
    "passed": true,
    "output": "XLM-R 38.16 < UMT5 42.93 Hindi tokens/sentence",
    "threshold": "XLM-R uses fewer Hindi tokens per sentence than UMT5 here."
  },
  {
    "number": 5,
    "passed": true,
    "output": "floor(4096/mean): Hindi 20, English 151; 0.132 < 0.200",
    "threshold": "A 4096-token illustrative budget holds under one fifth as many mean Hindi as English GPT-2 sentences."
  }
]