Accelerate get_infos by caching the DataseInfoDicts

promptsource/__init__.py

@@ -1 +1,4 @@
-DEFAULT_PROMPTSOURCE_CACHE_HOME = "~/.cache/promptsource"
+from pathlib import Path
+
+
+DEFAULT_PROMPTSOURCE_CACHE_HOME = str(Path("~/.cache/promptsource").expanduser())

promptsource/app.py

@@ -1,20 +1,23 @@
 import argparse
 import functools
 import multiprocessing
+import os
 import textwrap
+from hashlib import sha256
 from multiprocessing import Manager, Pool
 
 import pandas as pd
 import plotly.express as px
 import streamlit as st
 from datasets import get_dataset_infos
+from datasets.info import DatasetInfosDict
 from pygments import highlight
 from pygments.formatters import HtmlFormatter
 from pygments.lexers import DjangoLexer
-from templates import INCLUDED_USERS
 
+from promptsource import DEFAULT_PROMPTSOURCE_CACHE_HOME
 from promptsource.session import _get_state
-from promptsource.templates import DatasetTemplates, Template, TemplateCollection
+from promptsource.templates import INCLUDED_USERS, DatasetTemplates, Template, TemplateCollection
 from promptsource.utils import (
     get_dataset,
     get_dataset_confs,
@@ -25,6 +28,9 @@
 )
 
 
+DATASET_INFOS_CACHE_DIR = os.path.join(DEFAULT_PROMPTSOURCE_CACHE_HOME, "DATASET_INFOS")
+os.makedirs(DATASET_INFOS_CACHE_DIR, exist_ok=True)
+
 # Python 3.8 switched the default start method from fork to spawn. OS X also has
 # some issues related to fork, eee, e.g., https://github.com/bigscience-workshop/promptsource/issues/572
 # so we make sure we always use spawn for consistency
@@ -38,7 +44,17 @@ def get_infos(all_infos, d_name):
     :param all_infos: multiprocess-safe dictionary
     :param d_name: dataset name
     """
-    all_infos[d_name] = get_dataset_infos(d_name)
+    d_name_bytes = d_name.encode("utf-8")
+    d_name_hash = sha256(d_name_bytes)
+    foldername = os.path.join(DATASET_INFOS_CACHE_DIR, d_name_hash.hexdigest())
+    if os.path.isdir(foldername):
+        infos_dict = DatasetInfosDict.from_directory(foldername)
+    else:
+        infos = get_dataset_infos(d_name)
+        infos_dict = DatasetInfosDict(infos)
+        os.makedirs(foldername)
+        infos_dict.write_to_directory(foldername)
+    all_infos[d_name] = infos_dict
 
 
 # add an argument for read-only
@@ -181,11 +197,13 @@ def show_text(t, width=WIDTH, with_markdown=False):
                 else:
                     subset_infos = infos[subset_name]
 
-                split_sizes = {k: v.num_examples for k, v in subset_infos.splits.items()}
+                try:
+                    split_sizes = {k: v.num_examples for k, v in subset_infos.splits.items()}
+                except Exception:
+                    # Fixing bug in some community datasets.
+                    # For simplicity, just filling `split_sizes` with nothing, so the displayed split sizes will be 0.
+                    split_sizes = {}
             else:
-                # Zaid/coqa_expanded and Zaid/quac_expanded don't have dataset_infos.json
-                # so infos is an empty dic, and `infos[list(infos.keys())[0]]` raises an error
-                # For simplicity, just filling `split_sizes` with nothing, so the displayed split sizes will be 0.
                 split_sizes = {}
 
             # Collect template counts, original task counts and names