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README.md
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---
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license: cc-by-nc-4.0
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task_categories:
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- tabular-classification
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- token-classification
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language:
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- en
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tags:
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- synthetic-data
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- genomics
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- bioinformatics
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- dna
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- sequencing
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size_categories:
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- 100M<n<1B
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---
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# FreeSyntheticGenomicReads200M
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A free dataset of 200 million fully synthetic short-read DNA sequences, built for developers, researchers, and students who need realistic sequencing-style data at scale — for testing bioinformatics pipelines, sequence-alignment tools, read-processing systems, or teaching computational biology. No real genomes, organisms, or individuals are represented in this data; every sequence is randomly generated.
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## Schema
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| Column | Type | Description |
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|---|---|---|
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| read_id | string | Unique read identifier |
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| sequence | string | 150 bp read sequence (A/C/G/T) |
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| quality_scores | string | Per-base Phred+33 quality string (150 chars) |
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| chromosome | string | Mapped chromosome (chr1-chr22, chrX, chrY, chrM), or * if unmapped |
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| position | int | 1-based reference position, or 0 if unmapped |
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| strand | string | + or - for mapped reads, * if unmapped |
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| mapping_quality | int | MAPQ score (0-60) |
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| gc_content | float | GC fraction of the read (0-1) |
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| is_mapped | bool | Whether the read is mapped |
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| read_length | int | Read length in bases (150) |
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## Format
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Single Parquet file, Snappy compression, ~44 GB, 200,000,000 rows.
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## Quick Start
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Note: this dataset is ~44 GB and 200M rows. Do not load it all at once — stream it in batches or query it with a columnar engine.
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**duckdb (recommended)**
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```python
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import duckdb
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duckdb.sql("SELECT * FROM 'genomic_200M.parquet' LIMIT 10").show()
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```
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**pyarrow batches**
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```python
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import pyarrow.parquet as pq
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pf = pq.ParquetFile("genomic_200M.parquet")
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for batch in pf.iter_batches(batch_size=100000):
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... # process each batch
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```
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**datasets (streaming)**
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```python
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from datasets import load_dataset
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ds = load_dataset("ziadatalabs/FreeSyntheticGenomicReads200M", streaming=True)
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```
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## Notes
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Sequences are 150 bp random A/C/G/T with per-base Phred+33 quality strings skewed toward high quality, mirroring the shape of real short-read output. Reads are mapped (~94%) across chromosomes weighted by real human chromosome sizes, with mapping quality, position, strand, and GC content populated accordingly; unmapped reads carry the standard * / 0 placeholders. All entirely synthetic — no real biological sequence is represented.
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## License & Usage
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Released under CC BY-NC 4.0 — personal, research, and educational use permitted, attribution required, no commercial use.
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---
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Created by Zia Data Labs. Questions or feedback: zia.data.team@protonmail.com
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