Datasets:
template lines (250), the parallel set in eight languages: 5,420 instructions in 46 sets
ba25427 verified | { | |
| "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" | |
| } | |