Update README.md

README.md

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 ChatESP is a publication-grade, synthetically generated dataset in Spanish tailored for training and aligning Large Language Models (LLMs) via Supervised Fine-Tuning (SFT) and instruction tuning. It is designed to emulate authentic human-AI interactions spanning technical, lifestyle, and highly emotional scenarios.
 
-## Dataset Architecture & Volume
 - **Total Sample Size:** 256,000 unique records.
-- **Data Format:** Apache Parquet partitioned into 4 shards (`64,000` rows per shard) under the `/ChatESP` directory for fast out-of-core memory access.
-- **Compressed Package:** `ChatESP_Massive_Dataset.zip` containing all Parquet shards.
 - **High Density:** Extremely detailed responses structured in professional Markdown format, averaging over **1,400 characters per interaction** (well over the 504-byte enterprise SFT criteria).
 
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 import pandas as pd
 
 # Load a specific shard
-df = pd.read_parquet('ChatESP/ChatESP-Mini-Massive-Part1.parquet')
+df = pd.read_parquet('ChatESP/ChatESP-Part1.parquet')
 display(df.head())
 ```