feat: pixi and text updates
Browse files- .gitattributes +2 -0
- .gitignore +4 -0
- pixi.lock +1787 -0
- pixi.toml +12 -0
- variant_drug_benchmark.py +8 -8
.gitattributes
CHANGED
@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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*.jsonl filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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*.jsonl filter=lfs diff=lfs merge=lfs -text
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+
# SCM syntax highlighting & preventing 3-way merges
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pixi.lock merge=binary linguist-language=YAML linguist-generated=true
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.gitignore
ADDED
@@ -0,0 +1,4 @@
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# pixi environments
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.pixi
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*.egg-info
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pixi.lock
ADDED
@@ -0,0 +1,1787 @@
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|
1 |
+
version: 6
|
2 |
+
environments:
|
3 |
+
default:
|
4 |
+
channels:
|
5 |
+
- url: https://conda.anaconda.org/conda-forge/
|
6 |
+
packages:
|
7 |
+
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pixi.toml
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[project]
|
2 |
+
authors = ["Shlok Natarajan <shlok.natarajan@gmail.com>"]
|
3 |
+
channels = ["conda-forge"]
|
4 |
+
name = "autogkb-dataset"
|
5 |
+
platforms = ["osx-arm64"]
|
6 |
+
version = "0.1.0"
|
7 |
+
|
8 |
+
[tasks]
|
9 |
+
|
10 |
+
[dependencies]
|
11 |
+
pandas = ">=2.2.3,<3"
|
12 |
+
datasets = ">=3.6.0,<4"
|
variant_drug_benchmark.py
CHANGED
@@ -10,16 +10,16 @@ import datasets
|
|
10 |
|
11 |
|
12 |
_CITATION = """\
|
13 |
-
@misc{
|
14 |
-
title={
|
15 |
-
author={
|
16 |
-
year={
|
17 |
note={A benchmark for pharmacogenomic variant-drug annotation extraction from scientific literature}
|
18 |
}
|
19 |
"""
|
20 |
|
21 |
_DESCRIPTION = """\
|
22 |
-
The
|
23 |
|
24 |
This dataset contains 4,516 annotations across 1,431 papers, covering genetic variants, drugs, phenotype categories, and association details. Each annotation includes 22 fields ranging from core information (variant, gene, drug, PMID) to detailed phenotype and association data.
|
25 |
|
@@ -40,8 +40,8 @@ _LICENSE = "Apache-2.0"
|
|
40 |
_URLS = {}
|
41 |
|
42 |
|
43 |
-
class
|
44 |
-
"""
|
45 |
|
46 |
VERSION = datasets.Version("1.0.0")
|
47 |
|
@@ -49,7 +49,7 @@ class VariantDrugBenchmark(datasets.GeneratorBasedBuilder):
|
|
49 |
datasets.BuilderConfig(
|
50 |
name="default",
|
51 |
version=VERSION,
|
52 |
-
description="The full
|
53 |
),
|
54 |
]
|
55 |
|
|
|
10 |
|
11 |
|
12 |
_CITATION = """\
|
13 |
+
@misc{autogkb_annotation_benchmark_2025,
|
14 |
+
title={AutoGKB Annotation Benchmark},
|
15 |
+
author={Shlok Natarajan},
|
16 |
+
year={2025},
|
17 |
note={A benchmark for pharmacogenomic variant-drug annotation extraction from scientific literature}
|
18 |
}
|
19 |
"""
|
20 |
|
21 |
_DESCRIPTION = """\
|
22 |
+
The AutoGKB Annotation Benchmark evaluates models' ability to extract pharmacogenomic variant-drug associations from scientific literature.
|
23 |
|
24 |
This dataset contains 4,516 annotations across 1,431 papers, covering genetic variants, drugs, phenotype categories, and association details. Each annotation includes 22 fields ranging from core information (variant, gene, drug, PMID) to detailed phenotype and association data.
|
25 |
|
|
|
40 |
_URLS = {}
|
41 |
|
42 |
|
43 |
+
class AutoGKBAnnotationBenchmark(datasets.GeneratorBasedBuilder):
|
44 |
+
"""AutoGKB Annotation Benchmark dataset."""
|
45 |
|
46 |
VERSION = datasets.Version("1.0.0")
|
47 |
|
|
|
49 |
datasets.BuilderConfig(
|
50 |
name="default",
|
51 |
version=VERSION,
|
52 |
+
description="The full AutoGKB Annotation Benchmark dataset",
|
53 |
),
|
54 |
]
|
55 |
|