CalibratedDecisions.

Post · Data & extraction

Spanish AEPD corpus test

Jev versus a hand-built regex on 544 public data-protection resolutions: 98.2% agreement for about five cents.

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juanmacias 🏳️‍🌈 @juanmacias

He probado @typesafeai y la verdad es que merece la pena muchísimo. Tiene unos casos de usos muy específicos que me han venido super bien.

How builders describe it

A write-up of running a typesafe classifier against a Spanish legal corpus, replacing a hand-built regex with a probability, plus a thread arguing its best fit is as a pre-filter in front of an expensive model.

The decision Jev makes

Keep or drop a row, assign a label, or select one field value at a time.

Where it fits

Putting Jev next to the data: filtering rows with plain-English conditions, classifying records, labelling datasets and pulling structure out of text one small decision at a time. All 98 data & extraction projects →

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