--- license: apache-2.0 task_categories: - text-generation tags: - biology - genomics - dna size_categories: - 10M`. | | `end_of_sequence` | string | End-of-sequence special token marking the end of a sequence record, e.g. ``. | | `begin_of_gene` | string | Marker identifying the beginning of a gene/feature segment, e.g. ``. | | `end_of_gene` | string | Marker identifying the end of a gene/feature segment, e.g. ``. | | `gene_type` | string | Annotation describing the type of genomic feature. In the observed data, `` represents a coding sequence and `` represents another gene-feature category. | | `species_type` | string | Broad biological category of the source sequence. The current data is represented as `Eukaryota`. | | `strand` | string | DNA strand/orientation associated with the sequence, represented by `+` or `-`. | | `sequence` | string | The actual nucleotide sequence represented by the record. This is the primary biological sequence field. | | `molecule_type` | string | Molecular type of the sequence; the current data is represented as `DNA`. | | `topology` | string | Structural topology of the molecule, such as `linear`. | | `taxonomy` | string | Hierarchical taxonomic lineage of the sequence, with ranks represented as a semicolon-separated lineage, e.g. `Eukaryota;Fungi;...;Agaricus`. | | `start` | int64 | Starting position of the record within the pre-trained Carbon corpus. It is a corpus coordinate, not necessarily a genomic coordinate. | | `end` | int64 | Ending position of the record within the processed/tokenized Carbon corpus. | | `gc_content` | float64 | Fraction of nucleotides that are G or C: `(G + C) / sequence_length`. It measures GC composition. | | `gc_skew` | float64 | Measures asymmetry between G and C: `(G - C) / (G + C)`. Positive values indicate relative G enrichment; negative values indicate relative C enrichment. | | `sequence_length` | int64 | Number of nucleotide bases in the sequence. | | `gene_length` | int64 | Length of the associated gene/feature sequence. For the current records it commonly corresponds to `sequence_length`. | | `shannon_entropy` | float64 | Sequence-complexity measure based on nucleotide-frequency distribution. | | `kmer_frequency_vector` | list | A 64-element vector containing normalized frequencies of all possible DNA 3-mers (`4³ = 64`). It captures local sequence-composition patterns. | | `strand_normalized_sequence` | string | Sequence transformed into a consistent orientation so that strand direction does not create artificial differences in downstream analysis. | | `taxonomy_domain` | string | Broadest taxonomic/domain-level classification extracted from the taxonomy hierarchy. | | `taxonomy_depth` | int64 | Number of taxonomic levels represented in the lineage. It provides a compact measure of how deeply the sequence is classified. | | `is_coding_region` | bool | Boolean indicator of whether the record is classified as a coding sequence. The pipeline identifies `` as the coding gene type. | | `qc_flag` | string | Quality-control status assigned to the record, indicating whether it passes the pipeline's sequence-level QC criteria. | The dataset contains **both the original Carbon fields and derived enrichment features**. --- ## Dataset Summary `carbon-cpu-enriched-sequences` provides a reusable CPU-side canonical representation of the Carbon genomic corpus before computationally expensive GPU enrichment. The original Carbon source corpus contains approximately **46.3 million records**. This release contains **32,410,000 records**, corresponding to approximately **70% of the source row population**. The release was selected as a practical balance between corpus representation, CPU processing cost, storage requirements, and downstream GPU compute availability. The dataset preserves the original Carbon source representation while adding CPU-derived enrichment features: ```text Original Carbon columns + CPU-derived enrichment columns ↓ CPU-enriched Parquet dataset ``` The current materialized release contains approximately **25 columns**, consisting of approximately **14 source/raw columns** and **11 derived enrichment columns**. The exact schema should be inspected from the Parquet files, as future enrichment revisions may add or modify derived fields. CPU enrichment includes sequence-level and metadata-derived information such as sequence characteristics, coding status, strand/orientation information, and taxonomy depth. Coding sequences are identified using the observed Carbon representation ``. The dataset is stored as **Apache Parquet** with **Zstandard compression**, using approximately **50,000 rows per shard**. ## Intended Uses This dataset is intended for research and data-engineering workflows involving genomic sequence corpora, including: * Genomic data quality and validation analysis * Sequence-distribution and statistical analysis * CPU-side preprocessing research * Dataset sampling and cohort construction * GPU enrichment experiments * Embedding generation * Nearest-neighbor and clustering analysis * Genomic foundation-model data engineering * Benchmarking large-scale data-processing pipelines * Construction of downstream enriched datasets For large-scale datasets, streaming access is recommended rather than loading the entire dataset into memory. ---