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doc(README): add details regarding type, range and distribution of the numbers used in the symbolic expressions

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@@ -22,7 +22,7 @@ language:
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  ## 🧠 Model Details
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- This model is a parameter-efficient fine-tuning (PEFT) LoRA adapter, designed as a **demonstration and testbed** to evaluate intent sequencing using the [DIA DSL module](https://github.com/gh9869827/fifo-dev-dsl/tree/main/fifo_dev_dsl/dia). It fine-tunes `microsoft/Phi-4-mini-instruct` to act as an intent sequencer, parsing basic compositional arithmetic expressions (`+`, `-`, `*`, `/`) into structured intent sequences using nested function calls (e.g., `multiply(a=add(a=2, b=3), b=4)`).
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  Specifically, the adapter evaluates the model's capability to:
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  ## 🚀 Uses
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- This adapter fine-tunes `Phi-4-mini-instruct` to parse basic compositional arithmetic expressions (`+`, `-`, `*`, `/`) into structured DIA DSL code. It supports **nested expressions** and **randomized function/parameter names** to help reduce memorization, encouraging structural understanding.
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  Example:
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  ## 🧠 Model Details
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+ This model is a parameter-efficient fine-tuning (PEFT) LoRA adapter, designed as a **demonstration and testbed** to evaluate intent sequencing using the [DIA DSL module](https://github.com/gh9869827/fifo-dev-dsl/tree/main/fifo_dev_dsl/dia). It fine-tunes `microsoft/Phi-4-mini-instruct` to act as an intent sequencer, parsing basic compositional arithmetic expressions (combining integers with the operators `+`, `-`, `*`, `/`) into structured intent sequences using nested function calls (e.g., `multiply(a=add(a=2, b=3), b=4)`). See the [dataset card](https://huggingface.co/datasets/a6188466/dia-intent-sequencer-calculator-dataset) for details on the range and distribution of integers used in training.
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  Specifically, the adapter evaluates the model's capability to:
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  ## 🚀 Uses
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+ This adapter fine-tunes `Phi-4-mini-instruct` to parse basic compositional arithmetic expressions (combining integers with the operators `+`, `-`, `*`, `/`) into structured DIA DSL code. It supports **nested expressions** and **randomized function/parameter names** to help reduce memorization, encouraging structural understanding.
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  Example:
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