Update README.md

README.md

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-# ImplicitIR
+# DocMIDE
 
-Document images paired with question/answer pairs that require **implicit reasoning** over the document — deriving, cross-referencing, or computing a value — rather than plain OCR transcription. This is the held-out test split used by the [ImplicitIR Benchmark](https://github.com/VXRealLimited/ImplicitIR-Benchmark) eval harness; the reasoning-annotated training splits (with raw field data and derivation traces, used for SFT/GRPO) live in the [ImplicitIR](https://github.com/VXRealLimited/ImplicitIR) training repo.
+Document images paired with question/answer pairs that require **implicit reasoning** over the document — deriving, cross-referencing, or computing a value — rather than plain OCR transcription. This is the held-out test split used by the [DocMIDE Benchmark](https://github.com/VXRealLimited/DocMIDE-Benchmark) eval harness; the reasoning-annotated training splits (with raw field data and derivation traces, used for SFT/GRPO) live in the [DocMIDE](https://github.com/VXRealLimited/DocMIDE) training repo.
 
 Most document images are real-world documents sourced from the Unikie benchmark (MIT licensed); the `Synthetic` category is procedurally generated and not derived from Unikie. This dataset (questions, answers, and synthetic images) is released under CC-BY-4.0; the `images/real/` subset remains additionally subject to Unikie's MIT license and attribution requirement.
 
@@ -50,5 +50,5 @@ Images live under `images/` (3,427 total): `images/real/` (427 real-world docume
 ## Links
 
 Github:
-- [ImplicitIR](https://github.com/VXRealLimited/ImplicitIR) — training code (SFT + GRPO) that consumes this dataset
-- [ImplicitIR-Benchmark](https://github.com/VXRealLimited/ImplicitIR-Benchmark) — serves and scores checkpoints trained on this dataset
+- [DocMIDE](https://github.com/VXRealLimited/DocMIDE) — training code (SFT + GRPO) that consumes this dataset
+- [DocMIDE-Benchmark](https://github.com/VXRealLimited/DocMIDE-Benchmark) — serves and scores checkpoints trained on this dataset