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Sort the SFT domains table alphabetically

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  1. README.md +6 -6
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@@ -334,14 +334,14 @@ order, with no test split, e.g. `load_dataset("HuggingFaceBio/FineDNA", "sft_cha
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  | config | train | test (in `sft_mix`) | what the rows teach |
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  | --- | ---: | ---: | --- |
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- | `sft_sequence_continuation` | 58,727 | 27 | predict the next 1–32 nucleotides after a 4–8 kb eukaryotic context |
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- | `sft_variant_effect_prediction` | 57,254 | 24 | decide whether a single-nucleotide variant is benign or pathogenic from its sequence window, with templated reasoning |
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- | `sft_dna_computation` | 44,925 | 25 | answers computed exactly from the sequence: counting, GC content, melting temperature, translation, restriction sites, base lookup, coordinates, edits, rewriting |
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- | `sft_sequence_classification` | 16,396 | 11 | multiple-choice functional genomics: promoter vs enhancer, species of origin, TF motifs, TF binding sites |
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  | `sft_chat` | 8,553 | 6 | multi-turn conversations on molecular-biology concepts, the assistant's identity, honesty about its limits, and pushing back on false claims |
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- | `sft_sequence_analysis` | 7,561 | 3 | free-text, mostly multi-turn discussion of a pasted sequence: primer checks, annotation, coding potential, troubleshooting |
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  | `sft_instruction_following` | 5,904 | 1 | answering in the format the user asks for, and following format constraints on biology prompts |
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- | `sft_biology_qa` | 4,603 | 3 | genetics, molecular biology and bioinformatics questions from Biology StackExchange, Biostars, real user chats and Nemotron chat data |
 
 
 
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  ## RL
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  | config | train | test (in `sft_mix`) | what the rows teach |
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  | --- | ---: | ---: | --- |
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+ | `sft_biology_qa` | 4,603 | 3 | genetics, molecular biology and bioinformatics questions from Biology StackExchange, Biostars, real user chats and Nemotron chat data |
 
 
 
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  | `sft_chat` | 8,553 | 6 | multi-turn conversations on molecular-biology concepts, the assistant's identity, honesty about its limits, and pushing back on false claims |
339
+ | `sft_dna_computation` | 44,925 | 25 | answers computed exactly from the sequence: counting, GC content, melting temperature, translation, restriction sites, base lookup, coordinates, edits, rewriting |
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  | `sft_instruction_following` | 5,904 | 1 | answering in the format the user asks for, and following format constraints on biology prompts |
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+ | `sft_sequence_analysis` | 7,561 | 3 | free-text, mostly multi-turn discussion of a pasted sequence: primer checks, annotation, coding potential, troubleshooting |
342
+ | `sft_sequence_classification` | 16,396 | 11 | multiple-choice functional genomics: promoter vs enhancer, species of origin, TF motifs, TF binding sites |
343
+ | `sft_sequence_continuation` | 58,727 | 27 | predict the next 1–32 nucleotides after a 4–8 kb eukaryotic context |
344
+ | `sft_variant_effect_prediction` | 57,254 | 24 | decide whether a single-nucleotide variant is benign or pathogenic from its sequence window, with templated reasoning |
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  ## RL
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