diff --git a/hacking/datasets_from_tsp.py b/hacking/datasets_from_tsp.py
deleted file mode 100644
index 2f5be66f..00000000
--- a/hacking/datasets_from_tsp.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# %%
-import pandas as pd
-
-from tsfm_public.toolkit.time_series_preprocessor import TimeSeriesPreprocessor
-
-
-split_config = {"train": [0, 8640], "valid": [8640, 11520], "test": [11520, 14400]}
-
-
-dataset_path = (
-    "https://raw.githubusercontent.com/zhouhaoyi/ETDataset/main/ETT-small/ETTh1.csv"
-)
-
-timestamp_column = "date"
-
-df = pd.read_csv(
-    dataset_path,
-    parse_dates=[timestamp_column],
-)
-
-tsp = TimeSeriesPreprocessor(
-    id_columns=[],
-    timestamp_column=timestamp_column,
-    target_columns=["HUFL", "HULL", "MUFL", "MULL", "LUFL", "LULL", "OT"],
-    observable_columns=[],
-    control_columns=[],
-    conditional_columns=[],
-    static_categorical_columns=[],
-    scaling=True,
-    scaler_type="standard",
-    encode_categorical=False,
-    prediction_length=10,
-    context_length=96,
-)
-
-train, valid, test = tsp.get_datasets(df, split_config)
-
-# %%
-split_config = {"train": [0, 0.7], "valid": [0.7, 0.9], "test": [0.9, 1]}
-
-train, valid, test = tsp.get_datasets(df, split_config)
-
-
-# %%
-
-df = pd.read_csv("/Users/wmgifford/Downloads/weather.csv", parse_dates=["date"])
-
-tsp = TimeSeriesPreprocessor(
-    timestamp_column="date",
-    id_columns=[],
-    target_columns=[],
-    prediction_length=96,
-    context_length=512,
-)
-
-a, b, c = tsp.get_datasets(
-    df,
-    split_config={
-        "train": 0.7,
-        "test": 0.2,
-    },
-)