{
 "generated_utc": "2026-10-15T16:23:18.565665+00:00",
 "license": "CDLA-Permissive-2.0 for every instance; the sentences are synthetic (AI-written or AI-translated from briefs, or the author's, partly with ChatGPT 6.1 Sol)",
 "no_personal_data": true,
 "topologies": {
  "nobel-eu": "SNDlib reference network, 28 nodes, 41 links (shipped with Optical Networking Gym)",
  "swiss": "24 Swiss cities, 33 links along the main corridors, built for this project from public geography"
 },
 "sets": {
  "v3_en": {
   "rows": 521,
   "written_by": "a separate AI instance, from a brief naming the clause kinds and none of the project's wording",
   "topology": "nobel-eu"
  },
  "v3_de": {
   "rows": 514,
   "written_by": "a separate AI instance (German)",
   "topology": "nobel-eu"
  },
  "v3_fr": {
   "rows": 523,
   "written_by": "a separate AI instance (French)",
   "topology": "nobel-eu"
  },
  "v3_it": {
   "rows": 520,
   "written_by": "a separate AI instance (Italian)",
   "topology": "nobel-eu"
  },
  "v3_new": {
   "rows": 108,
   "written_by": "a separate AI instance: four instruction types shown to no component",
   "topology": "nobel-eu"
  },
  "v3_new_hard": {
   "rows": 79,
   "written_by": "as v3_new, on requests where neither instruction-blind choice complies",
   "topology": "nobel-eu"
  },
  "v3_new_impossible": {
   "rows": 66,
   "written_by": "as v3_new, on requests no path can satisfy",
   "topology": "nobel-eu"
  },
  "v3_partial": {
   "rows": 212,
   "written_by": "a separate AI instance: one clause the language carries with one it cannot",
   "topology": "nobel-eu"
  },
  "v3_other": {
   "rows": 16,
   "written_by": "a separate AI instance: routing instructions of yet other kinds",
   "topology": "nobel-eu"
  },
  "v3_not": {
   "rows": 30,
   "written_by": "a separate AI instance: text that is no routing instruction",
   "topology": "nobel-eu"
  },
  "v3_faulty": {
   "rows": 150,
   "written_by": "v3 sentences naming a place outside the network",
   "topology": "nobel-eu"
  },
  "owner": {
   "rows": 40,
   "written_by": "the project's author, partly with an AI assistant (ChatGPT 6.1 Sol): 35 English, 5 Urdu/Hindi in Latin letters",
   "topology": "nobel-eu"
  },
  "template1": {
   "rows": 25,
   "written_by": "the author on the project's template, partly with ChatGPT 6.1 Sol, set 1: one request each, English, German, Italian, Swedish",
   "topology": "nobel-eu"
  },
  "template1_standing": {
   "rows": 15,
   "written_by": "set 1: standing policies with a scope or a lifetime",
   "topology": "nobel-eu"
  },
  "template2": {
   "rows": 25,
   "written_by": "the author on the project's template, partly with ChatGPT 6.1 Sol, set 2: one request each, English and German",
   "topology": "nobel-eu"
  },
  "template2_standing": {
   "rows": 15,
   "written_by": "set 2: standing policies with a scope or a lifetime",
   "topology": "nobel-eu"
  },
  "template3": {
   "rows": 25,
   "written_by": "the author on the project's template, partly with ChatGPT 6.1 Sol, set 3: one request each, English and German",
   "topology": "nobel-eu"
  },
  "template3_standing": {
   "rows": 15,
   "written_by": "set 3: standing policies with a scope or a lifetime",
   "topology": "nobel-eu"
  },
  "template4": {
   "rows": 44,
   "written_by": "the author on the project's template, partly with ChatGPT 6.1 Sol, set 4: one request each, English, Swiss German, French, Italian",
   "topology": "nobel-eu"
  },
  "template4_standing": {
   "rows": 26,
   "written_by": "set 4: standing policies with a scope or a lifetime",
   "topology": "nobel-eu"
  },
  "template5": {
   "rows": 13,
   "written_by": "the author on the project's template, partly with ChatGPT 6.1 Sol, set 5: one request each, English, Swiss German, French, Italian",
   "topology": "nobel-eu"
  },
  "template5_standing": {
   "rows": 7,
   "written_by": "set 5: standing policies with a scope or a lifetime",
   "topology": "nobel-eu"
  },
  "v4_en": {
   "rows": 200,
   "written_by": "v3 sentences with a scope or lifetime phrase by another separate AI instance",
   "topology": "nobel-eu"
  },
  "v4_de": {
   "rows": 200,
   "written_by": "as v4_en (German)",
   "topology": "nobel-eu"
  },
  "v4_fr": {
   "rows": 200,
   "written_by": "as v4_en (French)",
   "topology": "nobel-eu"
  },
  "v4_it": {
   "rows": 200,
   "written_by": "as v4_en (Italian)",
   "topology": "nobel-eu"
  },
  "v3_swiss_en": {
   "rows": 287,
   "written_by": "v3 sentences filled with Swiss cities in their English names",
   "topology": "swiss"
  },
  "v3_swiss_de": {
   "rows": 288,
   "written_by": "v3 sentences filled with Swiss cities in their German names",
   "topology": "swiss"
  },
  "v3_swiss_fr": {
   "rows": 293,
   "written_by": "v3 sentences filled with Swiss cities in their French names",
   "topology": "swiss"
  },
  "v3_swiss_it": {
   "rows": 283,
   "written_by": "v3 sentences filled with Swiss cities in their Italian names",
   "topology": "swiss"
  },
  "parallel_en": {
   "rows": 40,
   "written_by": "60 items by a separate AI instance from a brief: one request each",
   "topology": "nobel-eu"
  },
  "parallel_en_standing": {
   "rows": 20,
   "written_by": "60 items by a separate AI instance from a brief: standing policies",
   "topology": "nobel-eu"
  },
  "parallel_de": {
   "rows": 40,
   "written_by": "parallel_en translated into German by another separate AI instance, from the sentences alone: one request each",
   "topology": "nobel-eu"
  },
  "parallel_de_standing": {
   "rows": 20,
   "written_by": "parallel_en translated into German by another separate AI instance, from the sentences alone: standing policies",
   "topology": "nobel-eu"
  },
  "parallel_fr": {
   "rows": 40,
   "written_by": "parallel_en translated into French by another separate AI instance, from the sentences alone: one request each",
   "topology": "nobel-eu"
  },
  "parallel_fr_standing": {
   "rows": 20,
   "written_by": "parallel_en translated into French by another separate AI instance, from the sentences alone: standing policies",
   "topology": "nobel-eu"
  },
  "parallel_it": {
   "rows": 40,
   "written_by": "parallel_en translated into Italian by another separate AI instance, from the sentences alone: one request each",
   "topology": "nobel-eu"
  },
  "parallel_it_standing": {
   "rows": 20,
   "written_by": "parallel_en translated into Italian by another separate AI instance, from the sentences alone: standing policies",
   "topology": "nobel-eu"
  },
  "parallel_ur_latn": {
   "rows": 40,
   "written_by": "parallel_en translated into Urdu/Hindi in Latin letters (written as Roman Urdu) by another separate AI instance, from the sentences alone: one request each",
   "topology": "nobel-eu"
  },
  "parallel_ur_latn_standing": {
   "rows": 20,
   "written_by": "parallel_en translated into Urdu/Hindi in Latin letters (written as Roman Urdu) by another separate AI instance, from the sentences alone: standing policies",
   "topology": "nobel-eu"
  },
  "parallel_ur_arab": {
   "rows": 40,
   "written_by": "parallel_en translated into Urdu in Urdu script by another separate AI instance, from the sentences alone: one request each",
   "topology": "nobel-eu"
  },
  "parallel_ur_arab_standing": {
   "rows": 20,
   "written_by": "parallel_en translated into Urdu in Urdu script by another separate AI instance, from the sentences alone: standing policies",
   "topology": "nobel-eu"
  },
  "parallel_hi": {
   "rows": 40,
   "written_by": "parallel_en translated into Hindi in Devanagari by another separate AI instance, from the sentences alone: one request each",
   "topology": "nobel-eu"
  },
  "parallel_hi_standing": {
   "rows": 20,
   "written_by": "parallel_en translated into Hindi in Devanagari by another separate AI instance, from the sentences alone: standing policies",
   "topology": "nobel-eu"
  },
  "parallel_ar": {
   "rows": 40,
   "written_by": "parallel_en translated into Arabic by another separate AI instance, from the sentences alone: one request each",
   "topology": "nobel-eu"
  },
  "parallel_ar_standing": {
   "rows": 20,
   "written_by": "parallel_en translated into Arabic by another separate AI instance, from the sentences alone: standing policies",
   "topology": "nobel-eu"
  },
  "parallel_ar_latn": {
   "rows": 40,
   "written_by": "parallel_en translated into Arabic in Latin letters (Arabizi) by another separate AI instance, from the sentences alone: one request each",
   "topology": "nobel-eu"
  },
  "parallel_ar_latn_standing": {
   "rows": 20,
   "written_by": "parallel_en translated into Arabic in Latin letters (Arabizi) by another separate AI instance, from the sentences alone: standing policies",
   "topology": "nobel-eu"
  }
 },
 "readers": {
  "translate3_ft": {
   "rows": 2739,
   "model": "Apertus v1.5 8B, fine-tuned reader 1 (third format), A100, bf16"
  },
  "translate3_ft2": {
   "rows": 2739,
   "model": "Apertus v1.5 8B, fine-tuned reader 2 (third format), A100, bf16"
  },
  "translate3_few": {
   "rows": 2739,
   "model": "Apertus v1.5 8B, 15 examples, no training"
  },
  "translate3_few70": {
   "rows": 2739,
   "model": "Apertus 70B (first generation), 15 examples, no training, 4-bit GGUF"
  },
  "translate3_few70b": {
   "rows": 2739,
   "model": "Apertus v1.5 70B, 15 examples, no training, 4-bit GGUF"
  },
  "translate3_ft_laptop": {
   "rows": 5222,
   "model": "reader 1, 4-bit GGUF under llama.cpp on an RTX 4060 laptop"
  },
  "translate3_ft2_laptop": {
   "rows": 4062,
   "model": "reader 2, 4-bit GGUF on the laptop"
  },
  "translate3_ft_laptop_s1": {
   "rows": 2726,
   "model": "reader 1 on the laptop, sample 1 at temperature 0.8"
  },
  "translate3_ft_laptop_s2": {
   "rows": 2726,
   "model": "reader 1 on the laptop, sample 2 at temperature 0.8"
  },
  "translate3_ft_laptop_s3": {
   "rows": 2726,
   "model": "reader 1 on the laptop, sample 3 at temperature 0.8"
  },
  "translate3_ft_laptop_s4": {
   "rows": 2726,
   "model": "reader 1 on the laptop, sample 4 at temperature 0.8"
  },
  "translate3_ft_laptop_s5": {
   "rows": 2726,
   "model": "reader 1 on the laptop, sample 5 at temperature 0.8"
  },
  "translate4_ft": {
   "rows": 3619,
   "model": "Apertus v1.5 8B, fine-tuned reader of the fourth format (scope, lifetime), A100"
  },
  "translate4_ft_laptop": {
   "rows": 1590,
   "model": "the fourth-format reader, 4-bit GGUF on the laptop"
  }
 },
 "outcomes": {
  "right": "the reader's line means what the sentence means (status, links, nodes, limits, preferences in order, scope, lifetime)",
  "silent": "the reader applied the sentence with another meaning, without saying so",
  "part_only": "the reader carried a part and said that a part was not carried",
  "flagged": "the reader did not apply the sentence and said so (unsupported, no_instruction or unresolved)",
  "handed_on": "a sentence outside the language that the reader handed on to the decider (unsupported)",
  "other_refusal": "a sentence that should not be applied, refused with another status than expected"
 },
 "line_format": "avoid=<links,nodes>; via=<node>; hops=<n|any>; km=<n|any>; path=<0-4|any>; prefer=<hops,km,load,slots>; scope=<any|rate:G|from:node|to:node>; until=<open|Nh>; rest=<none|more> | unsupported | no_instruction"
}