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README.md

@@ -1,29 +1,50 @@
 ---
-dataset_info:
-  features:
-  - name: src
-    dtype: string
-  - name: tgt
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 12641
-    num_examples: 272
-  - name: validation
-    num_bytes: 1562
-    num_examples: 34
-  - name: test
-    num_bytes: 1579
-    num_examples: 34
-  download_size: 14218
-  dataset_size: 15782
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+license: mit
+language: [en]
+tags:
+- seq2seq
+- dna
+- protein
+- eb502
 ---
+
+# DNA → Amino Acid Translation Dataset (EB502 HW1)
+
+## Description
+
+This dataset contains randomly generated DNA sequences (A, C, G, T)
+of fixed length (e.g., 30 nucleotides), and their corresponding
+amino acid sequences translated using the standard genetic code.
+
+Each example is a simple **sequence-to-sequence** pair:
+
+- `src`: input DNA sequence (string)
+- `tgt`: output amino acid sequence (string)
+
+Stop codons (*TAA, TAG, TGA*) terminate translation,
+and empty translations are filtered out.
+
+This dataset is created as part of **KAIST EB502 (Seq2Seq Data HW1)**.
+
+## Dataset Structure
+
+- **Fields**
+  - `src`: DNA sequence, composed of 'A', 'C', 'G', 'T'
+  - `tgt`: translated amino acid sequence, using standard codon table
+
+- **Splits**
+  - `train` (~80% of samples)
+  - `validation` (~10% of samples)
+  - `test` (~10% of samples)
+
+## Intended Use
+
+This dataset is intended for educational purposes, to practice:
+
+- Sequence-to-sequence data preparation
+- Training simple translation models
+- Using Hugging Face Datasets and Hub
+
+## License
+
+MIT License.