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Create openllm.py
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import argparse
import requests
from bs4 import BeautifulSoup
import pandas as pd
import json
# Repo: https://github.com/Weyaxi/scrape-open-llm-leaderboard
def get_json_format_data():
url = 'https://huggingfaceh4-open-llm-leaderboard.hf.space/'
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
script_elements = soup.find_all('script')
json_format_data = json.loads(str(script_elements[1])[31:-10])
return json_format_data
def get_datas(data):
for component_index in range(10, 50, 1): # component_index sometimes changes when they update the space, we can use this "for" loop to avoid changing component index manually
try:
result_list = []
i = 0
while True:
try:
results = data['components'][component_index]['props']['value']['data'][i][2:15]
type_of_emoji = data['components'][component_index]['props']['value']['data'][i][0]
try:
results_json = {"T": type_of_emoji, "Model": results[-1], "Average ⬆️": results[0], "ARC": results[1], "HellaSwag": results[2], "MMLU": results[3], "TruthfulQA": results[4], "Type": results[5],"Precision": results[6], "Hub License": results[7], "#Params (B)": results[8], "Hub ❤️": results[9], "Model Sha": results[11]}
except IndexError: # Wrong component index, so breaking loop to try next component index. (NOTE: More than one component index can give you some results but we must find the right component index to get all results we want.)
break
result_list.append(results_json)
i += 1
except IndexError: # No rows to extract so return the list (We know it is the right component index because we didn't break out of loop on the other exception.)
return result_list
except (KeyError, TypeError):
continue
return result_list