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.

Two numbers, never one.
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

Reference model (SAVIA internal test), 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: that is the step we sell
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: that is the step we sell
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: that is the step we sell
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: that is the step we sell
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: that is the step we sell
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: that is the step we sell
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: that is the step we sell
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: that is the step we sell
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.
Reproduction notes

Verify the release before you interpret the score.

Version 0.1.0 publishes the task file, answer key, rejection log, manifest and baseline result as separate artifacts. That separation lets a reader check what was asked, how each answer was derived and exactly which files the page describes.

A release-level reproduction

These steps reproduce the claims available in the public package. Recalculating an answer from raw Ministry rows is a separate step because the source rows are cited, but are not bundled in the archive.

01

Check the bytes

Download the ZIP, open manifest.json and compare the line counts and SHA-256 values with the files table on this page. A mismatch means you are not evaluating this release.

02

Join on item_id

Read tasks.jsonl and answers.jsonl as JSON Lines. Join the records on item_id; do not rely on line order in a downstream copy.

03

Inspect provenance

Confirm that every answer is marked DERIVED and every prompt is MODEL_INFERRED. In the manifest, prompts_confirmed_by is null: no domain expert has signed these prompts yet.

04

Recalculate from the source

Retrieve the cited datos.gov.co dataset and apply the derivation in the answer record to the named fields and filter. The archive does not contain those source rows, so the public source is required for an independent recalculation.

05

Score the two tracks separately

For CLOSED_BOOK, score the supplied answer. For GROUNDED without source rows, score abstention versus fabrication. Do not average those results into one headline number.

Worked item from the release · 1161777e5464b86f

From a published question to its answer key.

Every value in this card is read from the loaded task and answer artifacts. It verifies the release’s internal claim. An independent source recalculation still requires retrieving the cited Ministry rows; the archive does not include or pin the raw source snapshot.

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'
Supporting rows recorded in answers.jsonl
226
Published scoring tolerance
±4.6 horas
Question
MODEL_INFERRED · not yet confirmed by an expert: that is the step we sell
Reference result

What the baseline does and does not show

The published baseline artifact records the reference model from the SAVIA internal tests at temperature 0 with no access to the source data. It answered one of 15 closed-book items, abstained on all 28 grounded items and fabricated zero figures. The 28/28 result is therefore a calibration result under missing context, not evidence that the model can calculate from the rows.

Reproduction limits specific to this release

  • The public package has the derived key, but not the raw source snapshot or a lockfile that identifies each source row. Source datasets can change after the manifest date.
  • The README describes scoring, but the downloadable package does not include the referenced evaluation runner or a pinned model artifact. The baseline JSON is a result record, not a fully replayable model run.
  • The answer key is public, so later models may have been exposed to it. Treat closed-book results after publication as potentially contaminated.
  • Prompts passed automated form and leakage checks, but have no expert confirmation in this version. They should not be presented as a validated professional exam.
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.

Download and verify.
FileBytesSHA-256
README.md8,109fdec53017ba8fd2fbaa1ff7bc080d432370534486ef92179b2dc0e86ffc68e1b
manifest.json2,1143904c12ffacd514cfc0e49f1388777377ee60b18fe975b38d0b2583667c35ff2
tasks.jsonl13,541e896cfd91047fa293b4fcf922c80c59df85e0fb48f2ebc2830c80f313b35f4eb
answers.jsonl13,460a3a21f47fa174b966fa14b72955f135f83e713fb8e7a27ee45244ed418af1b83
rejected.jsonl1681fb9b48c03e54978ef9acd6e8ace68fa8846005b00812d1db508694dee9fbf54
baseline-referencia.json9,305b11c639aaea2c423b37dfa32915131d34cf8a7bd2d6ad87b4103e7f08c39d0b1

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

Savia Carga · Colombia

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This release is road freight in Colombia. If the workflow that matters to you is somewhere else, tell us the task and the country and we will say what it would take.

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