Datasets:
Add CodonTranslator dataset card and license
Browse files
LICENSE
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This dataset release is provided under the Creative Commons Attribution 4.0
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International license (CC-BY-4.0).
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https://creativecommons.org/licenses/by/4.0/
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README.md
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---
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license: cc-by-4.0
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pretty_name: CodonTranslator Data
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task_categories:
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- text-generation
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tags:
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- biology
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- dna
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- codon-optimization
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- protein-conditioned-generation
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size_categories:
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- 10M<n<100M
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---
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# CodonTranslator Data
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This repository contains the final public training-data release used for CodonTranslator.
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## Contents
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- `train/`: representative-only training shards
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- `val/`: representative-only validation shards
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- `test/`: representative-only held-out test shards
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- `embeddings_v2/`: precomputed species conditioning embeddings used in training
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- `_work/final_representative_counts.json`: final released split sizes
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- `_work/split_report.json`: split audit report
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- `_work/cluster_split.parquet`: cluster-level split assignments
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- `_work/seq_cluster.parquet`: MMseqs cluster assignments
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- `_work/seq_split.parquet`: split assignments before representative selection
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## Split definition
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The public `data_v3` split was rebuilt from `data_v2` with the following rules:
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- MMseqs clustering in **protein space**
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- test holdout by **binomial species**
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- validation split from **seen species but unseen clusters**
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- representative-only parquet outputs, one retained row per released representative sequence
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Mixed seen/held-out protein clusters and exact-protein leakage cases are removed on the seen side before final release.
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## Final released split sizes
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- `train = 36,888,301`
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- `val = 373,637`
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- `test = 331,455`
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All three released splits satisfy:
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- exact protein overlap `train/val = 0`
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- exact protein overlap `train/test = 0`
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- test species not seen in train/val
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- representatives-only rows, so `rows == unique_seq_id`
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## Parquet schema
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Each released parquet shard contains these columns:
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- `RefseqID`
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- `protein_refseq_id`
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- `protein_seq`
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- `cds_DNA`
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- `taxon`
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- `shard`
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## Embeddings
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`embeddings_v2/` is the exact species embedding store used in training. It contains:
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- `species_vocab.json`
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- `species_index.json`
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- `species_tok_emb.bin`
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- `metadata.json`
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- `taxonomy_database.json`
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The released `data_v3` taxa are fully covered by this embedding store.
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## Model and code
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The corresponding public model and code release is:
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- `alegendaryfish/CodonTranslator`
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## Attribution
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This release redistributes processed training data and derived embeddings for reproducibility of the CodonTranslator experiments. See the audit files in `_work/` for construction details and final verification outputs.
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