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Turn the full dataset into evidence your team can act on

Measure language, topic, quality, and duplicate signals across every record before committing training compute.

Dataset analysis interactive preview

Records

67.3k

Languages

3

Flagged

5%

English

62%

Turkish

26%

German

12%

How the workflow fits together

Run analysis over the complete dataset, move between distribution views, and open structured review queues for issues that require human judgment.

  1. Run a complete pass

    Analyze every eligible record instead of relying on a small sample.

  2. Compare the signals

    Move between language, topic, quality, and duplicate views.

  3. Resolve what matters

    Turn flagged patterns into focused, reviewable decisions.

Validate the distribution

Confirm that the final mix matches the model behavior you want.

Remove expensive repetition

Review semantic and lexical duplicate groups before training.

Explain every change

Keep analysis results beside the decisions they informed.

Know what your training set contains

Join the waitlist for early access to complete dataset analysis.

Dataset analysis · dropoutt