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docs: keep the LeRobot page's framing around its Geneva example

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The previous commit restored production's sentence so the example is
attributed to Geneva. This brings back the newer page's customer-facing
framing, that feature engineering costs nothing until it is used and never
copies the dataset or touches the videos, while keeping the Geneva link and
naming the API the code calls: @udf, add_columns and backfill. The code and
its timings, measured with Geneva, are unchanged.
This commit is contained in:
Brendan Clement
2026-10-06 10:17:18 -07:00
parent 9694b26ed8
commit 993ea90d50
1 changed files with 1 additions and 1 deletions
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docs/web/integrations/lerobotdataset.mdx
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@@ -115,7 +115,7 @@ Filter with SQL over any feature, using the indexes built at conversion:
From here it is standard LanceDB. The examples below are from our DROID walkthrough, all on the table the trainer reads.
**Derived columns are added without rewriting existing data.** With [Geneva](/geneva/udfs/udfs), `add_columns` registers a Python function and its input columns as a new derived column. No values are computed at that point. `backfill` computes and stores the derived values later, in parallel, without rewriting the existing columns or video blobs:
**Feature engineering costs nothing until you use it.** With [Geneva](/geneva/udfs/udfs), `add_columns` registers a `@udf` function and its input columns as a new column and computes nothing; `backfill` computes and stores the values later, in parallel. No copy of the dataset, and the videos are never touched:
```python
@udf(data_type=pa.float32(), input_columns=["action_joint_velocity"])