Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -7,10 +7,10 @@ license: mit
|
|
| 7 |
> **A growing benchmark for evaluating LLM agents on complex bioinformatics workflows.**
|
| 8 |
|
| 9 |
[](https://huggingface.co/datasets/lingzhi227/Extended-BioAgentBench)
|
| 10 |
-
[](https://github.com/bioagent-bench/bioagent-bench)
|
| 12 |
|
| 13 |
-
Building on [BioAgentBench](https://arxiv.org/abs/2601.21800) (10 tasks), this benchmark adds **
|
| 14 |
|
| 15 |
**This benchmark is actively growing** — new tasks are added continuously to cover more domains, increase complexity, and push the boundaries of what AI agents can do in bioinformatics.
|
| 16 |
|
|
@@ -21,7 +21,7 @@ Building on [BioAgentBench](https://arxiv.org/abs/2601.21800) (10 tasks), this b
|
|
| 21 |
- **Domain-specific traps**: Tasks include steps where default parameters silently produce wrong results (e.g., Tn5 shift correction in ATAC-seq, Medaka model selection for Nanopore)
|
| 22 |
- **Real public data**: Every task uses published datasets with ground truth generated by validated reference pipelines
|
| 23 |
|
| 24 |
-
## Tasks (
|
| 25 |
|
| 26 |
| # | Task ID | Name |
|
| 27 |
|---|---------|------|
|
|
@@ -93,6 +93,7 @@ Building on [BioAgentBench](https://arxiv.org/abs/2601.21800) (10 tasks), this b
|
|
| 93 |
| 76 | `clinical-wgs-interpretation` | Clinical WGS Interpretation: Full Clinical Genome Analy |
|
| 94 |
| 77 | `repeat-element-annotation` | Repeat Element Annotation (Transposable Element Analysi |
|
| 95 |
| 78 | `msi-detection` | Microsatellite Instability Detection: Multi-Caller Cons |
|
|
|
|
| 96 |
|
| 97 |
## Quick start
|
| 98 |
|
|
|
|
| 7 |
> **A growing benchmark for evaluating LLM agents on complex bioinformatics workflows.**
|
| 8 |
|
| 9 |
[](https://huggingface.co/datasets/lingzhi227/Extended-BioAgentBench)
|
| 10 |
+
[]()
|
| 11 |
[](https://github.com/bioagent-bench/bioagent-bench)
|
| 12 |
|
| 13 |
+
Building on [BioAgentBench](https://arxiv.org/abs/2601.21800) (10 tasks), this benchmark adds **69 new tasks** that test LLM agents on increasingly complex, multi-tool bioinformatics pipelines. Tasks span 6 domains and range from simple linear workflows to depth-8 diamond DAGs with 16+ CLI tools.
|
| 14 |
|
| 15 |
**This benchmark is actively growing** — new tasks are added continuously to cover more domains, increase complexity, and push the boundaries of what AI agents can do in bioinformatics.
|
| 16 |
|
|
|
|
| 21 |
- **Domain-specific traps**: Tasks include steps where default parameters silently produce wrong results (e.g., Tn5 shift correction in ATAC-seq, Medaka model selection for Nanopore)
|
| 22 |
- **Real public data**: Every task uses published datasets with ground truth generated by validated reference pipelines
|
| 23 |
|
| 24 |
+
## Tasks (69 total)
|
| 25 |
|
| 26 |
| # | Task ID | Name |
|
| 27 |
|---|---------|------|
|
|
|
|
| 93 |
| 76 | `clinical-wgs-interpretation` | Clinical WGS Interpretation: Full Clinical Genome Analy |
|
| 94 |
| 77 | `repeat-element-annotation` | Repeat Element Annotation (Transposable Element Analysi |
|
| 95 |
| 78 | `msi-detection` | Microsatellite Instability Detection: Multi-Caller Cons |
|
| 96 |
+
| 79 | `scatac-seq` | Single-Cell ATAC-seq Chromatin Accessibility Analysis |
|
| 97 |
|
| 98 |
## Quick start
|
| 99 |
|