peacock-data-public-datasets-idc-14.backup.output
/
lm-evaluation-harness
/scripts
/make_table_results.py
""" | |
Usage: | |
python make_table_tasks.py --output <markdown_filename> | |
""" | |
import json | |
import logging | |
import os | |
from pytablewriter import LatexTableWriter, MarkdownTableWriter | |
logging.basicConfig(level=logging.INFO) | |
logger = logging.getLogger(__name__) | |
def make_table(result_dict): | |
"""Generate table of results.""" | |
md_writer = MarkdownTableWriter() | |
latex_writer = LatexTableWriter() | |
md_writer.headers = ["Task", "Version", "Metric", "Value", "", "Stderr"] | |
latex_writer.headers = ["Task", "Version", "Metric", "Value", "", "Stderr"] | |
values = [] | |
for k, dic in sorted(result_dict["results"].items()): | |
version = result_dict["versions"][k] | |
percent = k == "squad2" | |
for m, v in dic.items(): | |
if m.endswith("_stderr"): | |
continue | |
if m + "_stderr" in dic: | |
se = dic[m + "_stderr"] | |
if percent or m == "ppl": | |
values.append([k, version, m, "%.2f" % v, "±", "%.2f" % se]) | |
else: | |
values.append( | |
[k, version, m, "%.2f" % (v * 100), "±", "%.2f" % (se * 100)] | |
) | |
else: | |
if percent or m == "ppl": | |
values.append([k, version, m, "%.2f" % v, "", ""]) | |
else: | |
values.append([k, version, m, "%.2f" % (v * 100), "", ""]) | |
k = "" | |
version = "" | |
md_writer.value_matrix = values | |
latex_writer.value_matrix = values | |
# todo: make latex table look good | |
# print(latex_writer.dumps()) | |
return md_writer.dumps() | |
if __name__ == "__main__": | |
# loop dirs and subdirs in results dir | |
# for each dir, load json files | |
for dirpath, dirnames, filenames in os.walk("../results"): | |
# skip dirs without files | |
if not filenames: | |
continue | |
path_readme = os.path.join(dirpath, "README.md") | |
with open(path_readme, "w", encoding="utf-8") as f: | |
# get path name, only last folder | |
path_name = dirpath.split("/")[-1] | |
f.write(f"# {path_name} \n\n") | |
for filename in sorted([f for f in filenames if f.endswith(".json")]): | |
path = os.path.join(dirpath, filename) | |
with open(path, "r", encoding="utf-8") as f: | |
result_dict = json.load(f) | |
with open(path_readme, "a", encoding="utf-8") as f: | |
f.write(f"## {filename} \n") | |
f.write(f"{make_table(result_dict)} \n") | |