Spaces:
Running
Running
generate static page leaderboard
Browse files
script.py
ADDED
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| 1 |
+
import pandas as pd
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| 2 |
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import json
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| 3 |
+
import re
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| 4 |
+
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| 5 |
+
# Load the CSV file
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| 6 |
+
leaderboard_df = []
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| 7 |
+
with open("benchmark_results.csv", "r") as f:
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| 8 |
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header = f.readline().strip().split(",")
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| 9 |
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header = [h.strip() for h in header]
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| 10 |
+
for i, line in enumerate(f):
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| 11 |
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leaderboard_df.append(line.strip().split(",", 13))
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| 12 |
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| 13 |
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# Load metadata
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| 14 |
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metadata = json.load(open('metadata.json'))
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| 15 |
+
for k, v in list(metadata.items()):
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| 16 |
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metadata[k.split(",")[0]] = v
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| 17 |
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| 18 |
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# Create DataFrame
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| 19 |
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leaderboard_df = pd.DataFrame(leaderboard_df, columns=header)
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| 20 |
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| 21 |
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# Filter and process DataFrame
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| 22 |
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leaderboard_df = leaderboard_df[(leaderboard_df["Benchmark Version"] == "eq-bench_v2_pl") | (
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| 23 |
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leaderboard_df["Benchmark Version"] == 'eq-bench_pl')]
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| 24 |
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leaderboard_df = leaderboard_df[["Model Path", "Benchmark Score", "Num Questions Parseable", "Error"]]
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| 25 |
+
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| 26 |
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def parse_parseable(x):
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| 27 |
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if x["Num Questions Parseable"] == 'FAILED':
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| 28 |
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m = re.match(r'(\d+)\.0 questions were parseable', x["Error"])
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| 29 |
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return m.group(1)
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| 30 |
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return x["Num Questions Parseable"]
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| 31 |
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| 32 |
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leaderboard_df["Num Questions Parseable"] = leaderboard_df[["Num Questions Parseable", "Error"]].apply(
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| 33 |
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lambda x: parse_parseable(x), axis=1)
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| 34 |
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| 35 |
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NUMBER_OF_QUESTIONS = 171.0
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| 36 |
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| 37 |
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def fraction_to_percentage(numerator: float, denominator: float) -> float:
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| 38 |
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return (numerator / denominator) * 100
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| 39 |
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| 40 |
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leaderboard_df["Num Questions Parseable"] = leaderboard_df["Num Questions Parseable"].apply(lambda x: fraction_to_percentage(float(x), NUMBER_OF_QUESTIONS))
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| 41 |
+
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| 42 |
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def get_params(model_name):
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| 43 |
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if model_name in metadata:
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| 44 |
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return metadata[model_name]
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| 45 |
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else:
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| 46 |
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print(model_name)
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| 47 |
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return None
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| 48 |
+
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| 49 |
+
leaderboard_df["Params"] = leaderboard_df["Model Path"].apply(lambda x: get_params(x))
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| 50 |
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leaderboard_df["Benchmark Score"] = leaderboard_df["Benchmark Score"].replace('FAILED', None)
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| 51 |
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leaderboard_df["Benchmark Score"] = leaderboard_df["Benchmark Score"].astype(float) * ((leaderboard_df["Num Questions Parseable"].astype(float) / 100))
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| 52 |
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leaderboard_df.loc[leaderboard_df["Benchmark Score"] < 0, "Benchmark Score"] = 0
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| 53 |
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leaderboard_df = leaderboard_df.sort_values(by=["Benchmark Score", "Num Questions Parseable"], ascending=[False, False])
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| 54 |
+
leaderboard_df = leaderboard_df.rename(columns={"Model Path": "Model", "Num Questions Parseable": "Percentage Questions Parseable"})
|
| 55 |
+
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| 56 |
+
# Generate HTML with DataTables
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| 57 |
+
html = """
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| 58 |
+
<!DOCTYPE html>
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| 59 |
+
<html lang="en">
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| 60 |
+
<head>
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| 61 |
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<meta charset="UTF-8">
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| 62 |
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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| 63 |
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<title>Leaderboard</title>
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| 64 |
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<link rel="stylesheet" href="https://cdn.datatables.net/1.11.5/css/jquery.dataTables.min.css">
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| 65 |
+
<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
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| 66 |
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<script src="https://cdn.datatables.net/1.11.5/js/jquery.dataTables.min.js"></script>
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| 67 |
+
<style>
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| 68 |
+
body {
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| 69 |
+
font: 90%/1.45em "Helvetica Neue", HelveticaNeue, Verdana, Arial, Helvetica, sans-serif;
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| 70 |
+
margin: 0;
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| 71 |
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padding: 20px;
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| 72 |
+
color: #333;
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| 73 |
+
background-color: #fff;
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| 74 |
+
}
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| 75 |
+
.numeric-cell {
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| 76 |
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text-align: right;
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| 77 |
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padding: 8px !important;
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| 78 |
+
}
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| 79 |
+
</style>
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| 80 |
+
<script>
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| 81 |
+
(function($) {
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| 82 |
+
$.fn.colorize = function(oOptions) {
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| 83 |
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var settings = $.extend({
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| 84 |
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parse: function(e) {
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| 85 |
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return parseFloat(e.html());
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| 86 |
+
},
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| 87 |
+
min: undefined,
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| 88 |
+
max: undefined,
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| 89 |
+
readable: true,
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| 90 |
+
themes: {
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| 91 |
+
"default": {
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| 92 |
+
color_min: "#C80000",
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| 93 |
+
color_mid: "#FFFFFF",
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| 94 |
+
color_max: "#10A54A"
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| 95 |
+
}
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| 96 |
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},
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| 97 |
+
theme: "default",
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| 98 |
+
center: undefined,
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| 99 |
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percent: false
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| 100 |
+
}, oOptions);
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| 101 |
+
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| 102 |
+
function getColor(color1, color2, ratio) {
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| 103 |
+
var hex = function(x) {
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| 104 |
+
x = x.toString(16);
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| 105 |
+
return (x.length == 1) ? '0' + x : x;
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| 106 |
+
}
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| 107 |
+
color1 = (color1.charAt(0) == "#") ? color1.slice(1) : color1
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| 108 |
+
color2 = (color2.charAt(0) == "#") ? color2.slice(1) : color2
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| 109 |
+
var r = Math.ceil(parseInt(color1.substring(0,2), 16) * ratio + parseInt(color2.substring(0,2), 16) * (1-ratio));
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| 110 |
+
var g = Math.ceil(parseInt(color1.substring(2,4), 16) * ratio + parseInt(color2.substring(2,4), 16) * (1-ratio));
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| 111 |
+
var b = Math.ceil(parseInt(color1.substring(4,6), 16) * ratio + parseInt(color2.substring(4,6), 16) * (1-ratio));
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| 112 |
+
return "#" + (hex(r) + hex(g) + hex(b)).toUpperCase();
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| 113 |
+
}
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| 114 |
+
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| 115 |
+
function getContrastYIQ(hexcolor) {
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| 116 |
+
var hex = (hexcolor.charAt(0) == "#") ? hexcolor.slice(1) : hexcolor;
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| 117 |
+
var r = parseInt(hex.substr(0,2),16);
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| 118 |
+
var g = parseInt(hex.substr(2,2),16);
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| 119 |
+
var b = parseInt(hex.substr(4,2),16);
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| 120 |
+
var yiq = ((r*299)+(g*587)+(b*114))/1000;
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| 121 |
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return (yiq >= 128) ? 'black' : 'white';
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| 122 |
+
}
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| 123 |
+
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| 124 |
+
var min = settings.min;
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| 125 |
+
var max = settings.max;
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| 126 |
+
if (min === undefined || max === undefined) {
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| 127 |
+
min = Infinity;
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| 128 |
+
max = -Infinity;
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| 129 |
+
this.each(function() {
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| 130 |
+
var value = parseFloat(settings.parse($(this)));
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| 131 |
+
if (!isNaN(value) && isFinite(value)) {
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| 132 |
+
min = Math.min(min, value);
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| 133 |
+
max = Math.max(max, value);
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| 134 |
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}
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| 135 |
+
});
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| 136 |
+
}
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| 137 |
+
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| 138 |
+
var center = settings.center !== undefined ? settings.center : (max + min) / 2;
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| 139 |
+
var adj = Math.max(Math.abs(max - center), Math.abs(center - min));
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| 140 |
+
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| 141 |
+
this.each(function() {
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| 142 |
+
var value = parseFloat(settings.parse($(this)));
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| 143 |
+
if (isNaN(value) || !isFinite(value)) return;
|
| 144 |
+
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| 145 |
+
var ratio = (value - center) / adj;
|
| 146 |
+
var color1, color2;
|
| 147 |
+
|
| 148 |
+
if (value < center) {
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| 149 |
+
ratio = Math.abs(ratio);
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| 150 |
+
if (ratio > 1) ratio = 1;
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| 151 |
+
color1 = settings.themes[settings.theme].color_min;
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| 152 |
+
color2 = settings.themes[settings.theme].color_mid;
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| 153 |
+
} else {
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| 154 |
+
ratio = Math.abs(ratio);
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| 155 |
+
if (ratio > 1) ratio = 1;
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| 156 |
+
color1 = settings.themes[settings.theme].color_max;
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| 157 |
+
color2 = settings.themes[settings.theme].color_mid;
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| 158 |
+
}
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| 159 |
+
var color = getColor(color1, color2, ratio);
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| 160 |
+
$(this).css('background-color', color);
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| 161 |
+
if (settings.readable)
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| 162 |
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$(this).css('color', getContrastYIQ(color));
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| 163 |
+
});
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| 164 |
+
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| 165 |
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return this;
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| 166 |
+
};
|
| 167 |
+
}(jQuery));
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| 168 |
+
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| 169 |
+
$(document).ready(function() {
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| 170 |
+
// Add custom filtering function
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| 171 |
+
$.fn.dataTable.ext.search.push(function(settings, data, dataIndex) {
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| 172 |
+
var searchValue = $('.dataTables_filter input').val();
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| 173 |
+
if (!searchValue) return true;
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| 174 |
+
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| 175 |
+
// Split search terms by semicolon and trim whitespace
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| 176 |
+
var searchTerms = searchValue.split(';').map(term => term.trim().toLowerCase());
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| 177 |
+
var modelName = data[0].toLowerCase(); // Model name is in first column
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| 178 |
+
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| 179 |
+
// Return true if ANY search terms are found in the model name (OR logic)
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| 180 |
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return searchTerms.some(term => modelName.includes(term));
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| 181 |
+
});
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| 182 |
+
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| 183 |
+
// Custom sorting function for benchmark scores
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| 184 |
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$.fn.dataTable.ext.type.order['score-pre'] = function(data) {
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| 185 |
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var score = parseFloat(data);
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| 186 |
+
return isNaN(score) ? -Infinity : score;
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| 187 |
+
};
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| 188 |
+
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| 189 |
+
// Get min/max values for each numeric column before initializing DataTables
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| 190 |
+
var columnRanges = {
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| 191 |
+
1: { min: Infinity, max: -Infinity }, // Params
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| 192 |
+
2: { min: Infinity, max: -Infinity }, // Benchmark Score
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| 193 |
+
3: { min: Infinity, max: -Infinity } // Percentage Questions Parseable
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| 194 |
+
};
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| 195 |
+
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| 196 |
+
$('#leaderboard tbody td').each(function() {
|
| 197 |
+
var columnIdx = $(this).index();
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| 198 |
+
if (columnIdx in columnRanges) {
|
| 199 |
+
var value = parseFloat($(this).text());
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| 200 |
+
if (!isNaN(value) && isFinite(value)) {
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| 201 |
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columnRanges[columnIdx].min = Math.min(columnRanges[columnIdx].min, value);
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| 202 |
+
columnRanges[columnIdx].max = Math.max(columnRanges[columnIdx].max, value);
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| 203 |
+
}
|
| 204 |
+
}
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| 205 |
+
});
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| 206 |
+
|
| 207 |
+
var table = $('#leaderboard').DataTable({
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| 208 |
+
"order": [[2, "desc"]], // Sort by Benchmark Score by default
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| 209 |
+
"pageLength": 20, // Show 20 results per page
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| 210 |
+
"lengthMenu": [[10, 20, 50, 100, -1], [10, 20, 50, 100, "All"]], // Update length menu options
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| 211 |
+
"columnDefs": [
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| 212 |
+
{
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| 213 |
+
"targets": [1],
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| 214 |
+
"className": "numeric-cell"
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| 215 |
+
},
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| 216 |
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{
|
| 217 |
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"type": "score",
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| 218 |
+
"targets": [2], // Apply custom sorting to Benchmark Score column
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| 219 |
+
"className": "numeric-cell"
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| 220 |
+
},
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| 221 |
+
{
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| 222 |
+
"targets": [3],
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| 223 |
+
"className": "numeric-cell"
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| 224 |
+
}
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| 225 |
+
],
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| 226 |
+
"drawCallback": function() {
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| 227 |
+
// Apply colorization with pre-calculated ranges
|
| 228 |
+
$("#leaderboard tbody td:nth-child(2)").colorize({
|
| 229 |
+
parse: function(e) { return parseFloat($(e).text()); },
|
| 230 |
+
min: columnRanges[1].min,
|
| 231 |
+
max: columnRanges[1].max,
|
| 232 |
+
themes: {
|
| 233 |
+
"default": {
|
| 234 |
+
color_min: "#10A54A", // White for smaller models
|
| 235 |
+
color_mid: "#FFD700", // Gold/yellow for medium models
|
| 236 |
+
color_max: "#C80000" // Hot pink for larger models
|
| 237 |
+
}
|
| 238 |
+
}
|
| 239 |
+
});
|
| 240 |
+
$("#leaderboard tbody td:nth-child(3)").colorize({
|
| 241 |
+
parse: function(e) { return parseFloat($(e).text()); },
|
| 242 |
+
min: columnRanges[2].min,
|
| 243 |
+
max: columnRanges[2].max,
|
| 244 |
+
themes: {
|
| 245 |
+
"default": {
|
| 246 |
+
color_min: "#C80000", // Red for lower scores
|
| 247 |
+
color_mid: "#FFD700", // Gold/yellow for medium scores
|
| 248 |
+
color_max: "#10A54A" // Green for higher scores
|
| 249 |
+
}
|
| 250 |
+
}
|
| 251 |
+
});
|
| 252 |
+
$("#leaderboard tbody td:nth-child(4)").colorize({
|
| 253 |
+
parse: function(e) { return parseFloat($(e).text()); },
|
| 254 |
+
min: columnRanges[3].min,
|
| 255 |
+
max: columnRanges[3].max,
|
| 256 |
+
themes: {
|
| 257 |
+
"default": {
|
| 258 |
+
color_min: "#C80000", // Red for lower percentages
|
| 259 |
+
color_mid: "#FFD700", // Gold/yellow for medium percentages
|
| 260 |
+
color_max: "#10A54A" // Green for higher percentages
|
| 261 |
+
}
|
| 262 |
+
}
|
| 263 |
+
});
|
| 264 |
+
},
|
| 265 |
+
// Override the default search behavior
|
| 266 |
+
"search": {
|
| 267 |
+
"smart": false
|
| 268 |
+
},
|
| 269 |
+
|
| 270 |
+
// Update search on input change
|
| 271 |
+
"initComplete": function() {
|
| 272 |
+
var table = this.api();
|
| 273 |
+
$('.dataTables_filter input')
|
| 274 |
+
.off() // Remove default binding
|
| 275 |
+
.on('input', function() {
|
| 276 |
+
table.draw();
|
| 277 |
+
});
|
| 278 |
+
}
|
| 279 |
+
});
|
| 280 |
+
});
|
| 281 |
+
</script>
|
| 282 |
+
</head>
|
| 283 |
+
<body>
|
| 284 |
+
<h1>Leaderboard</h1>
|
| 285 |
+
<table id="leaderboard" class="display" style="width:100%">
|
| 286 |
+
<thead>
|
| 287 |
+
<tr>
|
| 288 |
+
<th>Model</th>
|
| 289 |
+
<th>Params</th>
|
| 290 |
+
<th>Benchmark Score</th>
|
| 291 |
+
<th>Percentage Questions Parseable</th>
|
| 292 |
+
<th>Error</th>
|
| 293 |
+
</tr>
|
| 294 |
+
</thead>
|
| 295 |
+
<tbody>
|
| 296 |
+
"""
|
| 297 |
+
|
| 298 |
+
# Add rows to the HTML table
|
| 299 |
+
for _, row in leaderboard_df.iterrows():
|
| 300 |
+
html += f"""
|
| 301 |
+
<tr>
|
| 302 |
+
<td>{row['Model']}</td>
|
| 303 |
+
<td>{row['Params']}</td>
|
| 304 |
+
<td>{row['Benchmark Score']:.2f}</td>
|
| 305 |
+
<td>{row['Percentage Questions Parseable']:.2f}</td>
|
| 306 |
+
<td>{row['Error']}</td>
|
| 307 |
+
</tr>
|
| 308 |
+
"""
|
| 309 |
+
|
| 310 |
+
# Close the HTML tags
|
| 311 |
+
html += """
|
| 312 |
+
</tbody>
|
| 313 |
+
</table>
|
| 314 |
+
</body>
|
| 315 |
+
</html>
|
| 316 |
+
"""
|
| 317 |
+
|
| 318 |
+
# Save the HTML to a file
|
| 319 |
+
with open("leaderboard.html", "w") as file:
|
| 320 |
+
file.write(html)
|
| 321 |
+
|
| 322 |
+
print("HTML leaderboard generated and saved as leaderboard.html")
|