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Update README.md

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@@ -132,13 +132,23 @@ Contains the raw multi-turn dialogue and metadata.
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  **Install dependencies**
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- ```
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  pip install pandas pyarrow datasets
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  ```
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  **Load a single Parquet split**
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- ```
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  import pandas as pd
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  df = pd.read_parquet("data/bittensor-conversational-tags-and-embeddings-part-0000.parquet")
@@ -147,7 +157,7 @@ print(df.head())
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  **Load all tag splits**
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- ```
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  import pandas as pd
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  import glob
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@@ -159,21 +169,21 @@ print(f"Loaded {len(df_tags)} tag records.")
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  **Load tag dictionary**
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- ```
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  tag_dict = pd.read_parquet("tag_to_id.parquet")
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  print(tag_dict.head())
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  ```
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  **Load conversation to tags mapping**
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- ```
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  df_mapping = pd.read_parquet("conversations_to_tags.parquet")
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  print(df_mapping.head())
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  ```
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  **Load full conversations dialog and metadata**
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- ```
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  df_conversations = pd.read_parquet("conversations_train.parquet")
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  print(df_conversations.head())
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  ```
@@ -182,7 +192,7 @@ print(df_conversations.head())
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  ## 🔥 Example: Reconstruct Tags for a Conversation
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- ```
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  # Build tag lookup
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  tag_lookup = dict(zip(tag_dict['tag_id'], tag_dict['tag']))
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@@ -209,7 +219,7 @@ print(f"Conversation {c_guid} has tags: {tags}")
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  **Example (streaming with Hugging Face `datasets`)**
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- ```
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  from datasets import load_dataset
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  dataset = load_dataset(
 
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  **Install dependencies**
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+ ```python
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  pip install pandas pyarrow datasets
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  ```
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+ **Download the dataset**
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+ ```python
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+ import datasets
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+
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+ path = "ReadyAi/5000-podcast-conversations-with-metadata-and-embedding-dataset"
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+ dataset = datasets.load_dataset(path)
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+
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+ print(dataset['train'].column_names)
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+ ```
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+
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  **Load a single Parquet split**
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+ ```python
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  import pandas as pd
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  df = pd.read_parquet("data/bittensor-conversational-tags-and-embeddings-part-0000.parquet")
 
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  **Load all tag splits**
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+ ```python
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  import pandas as pd
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  import glob
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  **Load tag dictionary**
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+ ```python
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  tag_dict = pd.read_parquet("tag_to_id.parquet")
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  print(tag_dict.head())
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  ```
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  **Load conversation to tags mapping**
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+ ```python
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  df_mapping = pd.read_parquet("conversations_to_tags.parquet")
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  print(df_mapping.head())
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  ```
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  **Load full conversations dialog and metadata**
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+ ```python
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  df_conversations = pd.read_parquet("conversations_train.parquet")
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  print(df_conversations.head())
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  ```
 
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  ## 🔥 Example: Reconstruct Tags for a Conversation
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+ ```python
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  # Build tag lookup
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  tag_lookup = dict(zip(tag_dict['tag_id'], tag_dict['tag']))
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  **Example (streaming with Hugging Face `datasets`)**
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+ ```python
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  from datasets import load_dataset
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  dataset = load_dataset(