Update README.md

README.md

@@ -118,72 +118,3 @@ print(f"\n✓ Repository downloaded to: {repo_path}")
 # Construct path to the rossi_annotated_features parquet file
 parquet_path = os.path.join(repo_path, "harbison_2004.parquet")
 print(f"✓ Parquet file at: {parquet_path}")
-➜  ~ cat /home/chase/Downloads/Harbison.2004.md
-# Harbison 2004
-
-This Dataset is a parsed version of the data provided by Richard A. Young's lab. To cite
-this data, please use:  
-
-[Harbison CT, Gordon DB, Lee TI, Rinaldi NJ, Macisaac KD, Danford TW, Hannett NM, Tagne
-JB, Reynolds DB, Yoo J, et al. 2004. Transcriptional regulatory code of a eukaryotic
-genome. Nature 431:
-99–104.doi:10.1038/nature02800](https://www.nature.com/articles/nature02800)
-
-This repo provides 1 dataset:
-
-- **harbison_2004**: ChIP-chip transcription factor binding data with environmental
-  conditions.
-
-### `tfbpapi`
-
-After [installing
-tfbpapi](https://github.com/BrentLab/tfbpapi/?tab=readme-ov-file#installation), you can
-adapt this [tutorial](https://brentlab.github.io/tfbpapi/tutorials/hfqueryapi_tutorial/)
-in order to explore the contents of this repository.
-
-### huggingface_cli/duckdb
-
-You can retrieves and displays the file paths for each configuration of
-the "BrentLab/harbison_2004" dataset from Hugging Face Hub.
-
-```python
-from huggingface_hub import ModelCard
-from pprint import pprint
-
-card = ModelCard.load("BrentLab/harbison_2004", repo_type="dataset")
-
-# cast to dict
-card_dict = card.data.to_dict()
-
-# Get partition information
-dataset_paths_dict = {d.get("config_name"): d.get("data_files")[0].get("path") for d in card_dict.get("configs")}
-
-pprint(dataset_paths_dict)
-```
-
-If you wish to pull the entire repo, due to its size you may need to use an
-[authentication token](https://huggingface.co/docs/hub/en/security-tokens).
-If you do not have one, try omitting the token related code below and see if
-it works. Else, create a token and provide it like so:
-
-```python
-from huggingface_hub import snapshot_download
-import os
-
-repo_id = "BrentLab/harbison_2004"
-
-hf_token = os.getenv("HF_TOKEN")
-
-# Download entire repo to local directory
-repo_path = snapshot_download(
-    repo_id=repo_id,
-    repo_type="dataset",
-    token=hf_token
-)
-
-print(f"\n✓ Repository downloaded to: {repo_path}")
-
-# Construct path to the rossi_annotated_features parquet file
-parquet_path = os.path.join(repo_path, "harbison_2004.parquet")
-print(f"✓ Parquet file at: {parquet_path}")
-```