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Running
on
CPU Upgrade
Commit
·
e35e532
1
Parent(s):
a8bda03
chore: Filter out unmodified template cards in load_cards()
Browse files- load_data.py +45 -9
load_data.py
CHANGED
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@@ -12,7 +12,10 @@ from chromadb.utils import embedding_functions
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from dotenv import load_dotenv
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from huggingface_hub import InferenceClient
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from tqdm.contrib.concurrent import thread_map
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# Set up logging
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logging.basicConfig(
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level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
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@@ -67,15 +70,20 @@ def get_collection(chroma_client, embedding_function):
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def get_last_modified_in_collection(collection) -> datetime | None:
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logger.info("Fetching last modified date from collection")
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return None
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@@ -106,6 +114,26 @@ def parse_markdown_column(
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def load_cards(
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min_len: int = 50,
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min_likes: int | None = None,
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@@ -122,6 +150,14 @@ def load_cards(
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df = df.filter(pl.col("likes") > min_likes)
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if last_modified:
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df = df.filter(pl.col("last_modified") > last_modified)
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if len(df) == 0:
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logger.info("No cards found matching criteria")
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return None
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from dotenv import load_dotenv
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from huggingface_hub import InferenceClient
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from tqdm.contrib.concurrent import thread_map
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import os
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os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
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# Set up logging
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logging.basicConfig(
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level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
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def get_last_modified_in_collection(collection) -> datetime | None:
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logger.info("Fetching last modified date from collection")
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try:
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all_items = collection.get(include=["metadatas"])
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if last_modified := [
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datetime.fromisoformat(item["last_modified"])
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for item in all_items["metadatas"]
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]:
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last_mod = max(last_modified)
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logger.info(f"Last modified date: {last_mod}")
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return last_mod
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else:
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logger.info("No last modified date found")
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return None
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except Exception as e:
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logger.error(f"Error fetching last modified date: {str(e)}")
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return None
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)
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def is_unmodified_template(card: str) -> bool:
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# Check for a combination of template-specific phrases
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template_indicators = [
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"# Dataset Card for Dataset Name",
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"<!-- Provide a quick summary of the dataset. -->",
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"This dataset card aims to be a base template for new datasets",
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"[More Information Needed]",
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]
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# Count how many indicators are present
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indicator_count = sum(indicator in card for indicator in template_indicators)
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# Check if the card contains a high number of "[More Information Needed]" occurrences
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more_info_needed_count = card.count("[More Information Needed]")
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# Consider it an unmodified template if it has most of the indicators
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# and a high number of "[More Information Needed]" occurrences
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return indicator_count >= 3 or more_info_needed_count >= 7
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def load_cards(
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min_len: int = 50,
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min_likes: int | None = None,
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df = df.filter(pl.col("likes") > min_likes)
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if last_modified:
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df = df.filter(pl.col("last_modified") > last_modified)
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# Filter out unmodified template cards
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df = df.filter(
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~pl.col("prepended_markdown").map_elements(
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is_unmodified_template, return_dtype=pl.Boolean
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)
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)
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if len(df) == 0:
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logger.info("No cards found matching criteria")
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return None
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