Datasets:
File size: 11,283 Bytes
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"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"
}
|