Update README.md

README.md

@@ -2,13 +2,13 @@
 license: apache-2.0
 ---
 
-# 🔬 EAI-Taxonomy STEM w/ DCLM
+# 🔬 EAI-Taxonomy STEM w/ DCLM (100B sample)
 
 A high-quality STEM dataset curated from web data using taxonomy-based filtering, containing **100 billion tokens** of science, technology, engineering, and mathematics content.
 
 ## 🎯 Dataset Overview
 
-This dataset is part of the [**Essential-Web**](https://huggingface.co/datasets/EssentialAI/essential-web) project, which introduces a new paradigm for dataset curation using expressive metadata and simple semantic filters. Unlike traditional STEM datasets that require complex domain-specific pipelines, our approach leverages a 12-category taxonomy to efficiently identify and extract high-quality STEM content.
+This dataset is part of the [**Essential-Web**](https://huggingface.co/datasets/EssentialAI/essential-web-v1.0) project, which introduces a new paradigm for dataset curation using expressive metadata and simple semantic filters. Unlike traditional STEM datasets that require complex domain-specific pipelines, our approach leverages a 12-category taxonomy to efficiently identify and extract high-quality STEM content.
 
 **🧪 EAI-Taxonomy STEM w/ DCLM** (100B tokens): Documents targeting science, engineering, medical, and computer science content that exhibit reasoning, combined with the DCLM classifier to filter for instruction-dense documents.
 
@@ -425,7 +425,7 @@ Domain and content type classification probabilities:
 
 ## How to Load the Dataset
 
-This section provides examples of how to load the `EssentialAI/eai-taxonomy-stem-w-dclm` dataset using different Python libraries and frameworks.
+This section provides examples of how to load the `EssentialAI/eai-taxonomy-stem-w-dclm-100b-sample` dataset using different Python libraries and frameworks.
 
 ### Using Hugging Face Datasets (Standard Method)
 
@@ -435,7 +435,7 @@ The simplest way to load the dataset is using the Hugging Face `datasets` librar
 from datasets import load_dataset
 
 # Load the entire dataset
-dataset = load_dataset("EssentialAI/eai-taxonomy-stem-w-dclm")
+dataset = load_dataset("EssentialAI/eai-taxonomy-stem-w-dclm-100b-sample")
 
 # View dataset structure
 print(dataset)
@@ -448,7 +448,7 @@ You can also load the dataset in streaming mode to avoid downloading the entire
 from datasets import load_dataset
 
 # Load in streaming mode
-dataset = load_dataset("EssentialAI/eai-taxonomy-stem-w-dclm", streaming=True)
+dataset = load_dataset("EssentialAI/eai-taxonomy-stem-w-dclm-100b-sample", streaming=True)
 data_stream = dataset["train"]
 
 # Iterate through examples
@@ -471,7 +471,7 @@ from pyspark.sql import SparkSession
 spark = SparkSession.builder.appName("EAI-Taxonomy-STEM-w-DCLM").getOrCreate()
 
 # Load the dataset using the "huggingface" data source
-df = spark.read.format("huggingface").load("EssentialAI/eai-taxonomy-stem-w-dclm")
+df = spark.read.format("huggingface").load("EssentialAI/eai-taxonomy-stem-w-dclm-100b-sample")
 
 # Basic dataset exploration
 print(f"Dataset shape: {df.count()} rows, {len(df.columns)} columns")
@@ -482,7 +482,7 @@ df.printSchema()
 df_subset = (
     spark.read.format("huggingface")
     .option("columns", '["column1", "column2"]')  # Replace with actual column names
-    .load("EssentialAI/eai-taxonomy-stem-w-dclm")
+    .load("EssentialAI/eai-taxonomy-stem-w-dclm-100b-sample")
 )
 
 # Run SQL queries on the dataset
@@ -502,7 +502,7 @@ Daft provides a modern DataFrame library optimized for machine learning workload
 import daft
 
 # Load the entire dataset
-df = daft.read_parquet("hf://datasets/EssentialAI/eai-taxonomy-stem-w-dclm")
+df = daft.read_parquet("hf://datasets/EssentialAI/eai-taxonomy-stem-w-dclm-100b-sample")
 
 # Basic exploration
 print("Dataset schema:")
@@ -519,7 +519,7 @@ import daft
 from daft.io import IOConfig, HTTPConfig
 
 io_config = IOConfig(http=HTTPConfig(bearer_token="your_token"))
-df = daft.read_parquet("hf://datasets/EssentialAI/eai-taxonomy-stem-w-dclm", io_config=io_config)
+df = daft.read_parquet("hf://datasets/EssentialAI/eai-taxonomy-stem-w-dclm-100b-sample", io_config=io_config)
 ```
 
 ### Installation Requirements