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README.md
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---
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Author : hy3074
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Date : 25.11.24
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Description : Synthetic DNA-to-AA ORF Translation Dataset
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tags:
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- dna
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- protein
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- bioinformatics
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- synthetic-biology
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- sequence-to-sequence
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- translation
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tasks:
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- sequence-to-sequence
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language:
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- en
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---
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# Synthetic DNA → Amino Acid ORF Translation Dataset
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## 🧬 Summary
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This dataset contains **synthetic DNA sequences** (`input`) and their corresponding **amino acid sequences** (`output`), where the label is defined as the **first valid ORF** from the 5' end:
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> From the **first `ATG`** (start codon) encountered in the sequence
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> to the **first in-frame stop codon** (`TAA`, `TAG`, or `TGA`) that follows it,
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> translated into amino acids (excluding the stop).
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The dataset is designed for training and evaluating models that learn **DNA→protein translation rules** and **ORF detection** in a slightly non-trivial, noisy setting.
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---
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## 📁 Dataset Structure
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### Data fields
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Each example is a JSON object with the following fields:
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- `input` (string):
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A DNA sequence (characters `A`, `C`, `G`, `T` only).
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- Length is **variable**, from a minimum (e.g. 6 nt) up to a specified maximum.
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- The sequence is mostly random, but guaranteed to contain at least one valid ORF.
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- `output` (string):
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The amino acid sequence translated from the ORF defined as:
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- The first `ATG` found when scanning from the 5' end.
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- The first **in-frame** stop codon (`TAA`, `TAG`, or `TGA`) after that `ATG`.
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- Translation uses the **standard genetic code**.
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- The stop codon is **not included** in the amino acid string.
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Example (conceptual):
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```json
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{
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"input": "ACGTTGATGAAAACCGGGTAGTTCG...",
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"output": "MKTVG"
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}
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