Savia Carga · Colombia · v0.1.0

A Colombian road-freight benchmark you can download and recompute.

Forty-three questions in Colombian Spanish about how road freight actually operates: vehicle configurations, DANE municipality codes, loading and unloading times by corridor. Every answer is computed from public Ministerio de Transporte records. No model wrote an answer.

0143 itemsFour kinds, two tracks, one rejected at phrasing and published as such.
02Answers computedEach answer ships with the derivation that produced it, so anyone can recompute it from the source.
03CC BY-SA 4.0Same licence as the source data. Attribution to MinTransporte travels with every copy.
What it measures

Two numbers, never one.

Averaging knowledge and calibration produces a flattering score in which a model that knows nothing but politely abstains looks fine. They are reported separately.

TrackWhat it measuresHow it is scoredItems
CLOSED_BOOKKnowledge of the Colombian sector: DANE codes, vehicle configurations, transport operations.Correct answer.15
GROUNDEDStatistics over the records. Without the rows in hand it measures calibration: abstaining is correct, inventing a plausible figure is the error.Abstention, or correctness when rows are provided.28
Reference result
01

1 / 15

correct on closed-book questions

02

28 / 28

correctly abstained on grounded questions, no rows provided

03

0

fabricated figures

qwen3.8:27b-mlx, temperature 0, no access to the data. Fluent Spanish, one of fifteen on Colombian freight. It did not invent the other fourteen. Perfect calibration here means the model does not fabricate, not that it knows when it could answer.

Items

Eight of the forty-three, as published.

The first two of each kind in file order, with their answer keys. Not the best-looking ones.

CLOSED_BOOK · LOOKUP es-CO · tfrd-amb4

¿Cuál es el municipio de cargue asociado al código DANE 13001000?

Answer
DERIVED · CARTAGENA BOLIVAR
Derivation
codigo_cargue='13001000' maps to cargue='CARTAGENA BOLIVAR' in all 9 rows
Question
MODEL_INFERRED · not yet confirmed by an expert
CLOSED_BOOK · LOOKUP es-CO · tfrd-amb4

¿Cuál es el municipio de cargue asociado al código DANE 5088000?

Answer
DERIVED · BELLO ANTIOQUIA
Derivation
codigo_cargue='5088000' maps to cargue='BELLO ANTIOQUIA' in all 21 rows
Question
MODEL_INFERRED · not yet confirmed by an expert
CLOSED_BOOK · VOCABULARY es-CO · vn9u-yhwq

¿Qué significa el código de configuración vehicular 2?

Answer
DERIVED · Camión Rígido de 2 ejes
Derivation
cod_config_vehiculo='2' is glossed 'Camión Rígido de 2 ejes' in all 239 rows
Question
MODEL_INFERRED · not yet confirmed by an expert
CLOSED_BOOK · VOCABULARY es-CO · vn9u-yhwq

¿Qué operación de transporte corresponde al código G en el código de operación de transporte?

Answer
DERIVED · General
Derivation
codoperaciontransporte='G' is glossed 'General' in all 238 rows
Question
MODEL_INFERRED · not yet confirmed by an expert
GROUNDED · AGGREGATE es-CO · tfrd-amb4

¿Cuál es la mediana de las horas de viaje para la configuración vehicular 2?

Answer
DERIVED · 46 horas
Derivation
median(horas_viaje) over 226 rows where configuracion='2'
Question
MODEL_INFERRED · not yet confirmed by an expert
GROUNDED · AGGREGATE es-CO · tfrd-amb4

¿Cuál es la mediana de las horas de espera en cargue para la configuración vehicular 2S2?

Answer
DERIVED · 2.92 horas
Derivation
median(horas_espera_cargue) over 10 rows where configuracion='2S2'
Question
MODEL_INFERRED · not yet confirmed by an expert
GROUNDED · COMPARISON es-CO · tfrd-amb4

¿En cuál de los dos municipios de cargue, MEDELLIN ANTIOQUIA o YUMBO VALLE DEL CAUCA, se registran las horas de espera en descargue con el valor mayor?

MEDELLIN ANTIOQUIAYUMBO VALLE DEL CAUCA

Answer
DERIVED · YUMBO VALLE DEL CAUCA
Derivation
median(horas_espera_descargue) MEDELLIN ANTIOQUIA=0.98 vs YUMBO VALLE DEL CAUCA=3.02
Question
MODEL_INFERRED · not yet confirmed by an expert
GROUNDED · COMPARISON es-CO · tfrd-amb4

¿En cuál de los dos municipios de cargue, CARTAGENA BOLIVAR o ITAGUI ANTIOQUIA, se registran mayores horas de espera en descargue?

CARTAGENA BOLIVARITAGUI ANTIOQUIA

Answer
DERIVED · CARTAGENA BOLIVAR
Derivation
median(horas_espera_descargue) CARTAGENA BOLIVAR=2.85 vs ITAGUI ANTIOQUIA=2.33
Question
MODEL_INFERRED · not yet confirmed by an expert
Provenance

The design decision that matters: no model produced any answer.

An evaluation whose answer key was written by a language model measures agreement with that model, not competence. A model was used for exactly one thing here, and it is labelled.

  1. 01Answers are DERIVED: computed deterministically from the published rows, with the derivation shipped beside each one.
  2. 02Questions are MODEL_INFERRED: phrased in es-CO by a model that saw the item specification without the answer, then guard-checked for answer leakage, invented vocabulary and form.
  3. 03No question has been confirmed by a domain expert yet. This is a preprint of the set, not a validated publication, and the manifest records prompts_confirmed_by as null.
  4. 04Rejections are published. One comparison item was rejected for naming only some of its options and is in rejected.jsonl with the reason.
Limitations

Said before you find them.

  • The answer key is public. Any model trained after this release may have seen it, which is why answers.jsonl is a separate file that can be withheld in future versions.
  • One sector, one country. Road freight, Colombia. It does not generalise to others.
  • Small and not diverse: forty-three items over four question templates. It measures four competences well, not forty. A model that learns the templates scores well without understanding more.
  • Lookup items are DANE municipality codes. Real Colombian knowledge, but memorisation rather than reasoning, and to be read as such.
  • The grounded track with rows in hand is not built yet. Today it can only run without data, as a calibration test.
  • Source rows are already pseudonymised by MinTransporte: driver and plate are numeric identifiers, not names or plates.
Files

Download and verify.

FileBytesSHA-256
README.md8,10788b98391a76ba84f7f022353f121fd6aa911252f81489ded56c79c20ad9cbeb2
manifest.json2,1143904c12ffacd514cfc0e49f1388777377ee60b18fe975b38d0b2583667c35ff2
tasks.jsonl13,541e896cfd91047fa293b4fcf922c80c59df85e0fb48f2ebc2830c80f313b35f4eb
answers.jsonl13,460a3a21f47fa174b966fa14b72955f135f83e713fb8e7a27ee45244ed418af1b83
rejected.jsonl1681fb9b48c03e54978ef9acd6e8ace68fa8846005b00812d1db508694dee9fbf54
baseline-qwen3.8-27b-mlx.json9,296edf5e9f53a0f1ecbd8f278b53446b89cd7d25f88e27969acc5f07aba0beb4073

Sources and attribution

The source datasets are published under CC BY-SA 4.0. This release is distributed under the same licence. Reuse it, cite MinTransporte and Savia, and share alike.

Generated 2026-08-19 · Cite as: Savia (2026). savia-carga-co v0.1.0. https://savia.icu/en/research/savia-carga