Update README and add LFS attributes

README.md

@@ -1,52 +1,66 @@
-# How to read files.
-For example, if you want to read `filename.h5`
-```Python
-import pandas as pd
-df = pd.read_hdf("filename.h5", key="data")
-```
-NOTE: **key is always "data" for all hdf5 files **.
-
-# Here is a short description about the data
-
-| Filename       | Description                                                      |
-| -------------- | -----------------------------------------------------------------|
-| "daily_pv.h5"  | Adjusted daily price and volume data.                            |
-
+---
+language:
+  - en
+  - zh
+license: apache-2.0
+task_categories:
+  - time-series-forecasting
+  - quantitative-finance
+tags:
+  - finance
+  - quantitative
+  - qlib
+  - factor
+  - time-series
+pretty_name: QuantaAlpha Qlib CSI300 Dataset
+---
 
-# For different data, We have some basic knowledge for them
+# QuantaAlpha Qlib CSI300 Dataset
 
-## Daily price and volume data
-$open: open price of the stock on that day.
-$close: close price of the stock on that day.
-$high: high price of the stock on that day.
-$low: low price of the stock on that day.
-$volume: volume of the stock on that day.
-$factor: factor value of the stock on that day.
+**Usage reference:** [![GitHub](https://img.shields.io/badge/GitHub-QuantaAlpha-181717?logo=github)](https://github.com/QuantaAlpha/QuantaAlpha)
 
+Qlib market data and pre-computed HDF5 files for QuantaAlpha factor mining (A-share, CSI 300).
 
+## Dataset description
 
+| Filename       | Description                                      |
+| -------------- | ------------------------------------------------- |
+| daily_pv.h5    | Adjusted daily price and volume data.            |
+| daily_pv_debug.h5 | Debug subset (smaller) of price-volume data. |
 
+## How to load from Hugging Face
 
----
-language:
-- en
-- zh
+```python
+from huggingface_hub import hf_hub_download
+import pandas as pd
 
-license: apache-2.0
-task_categories:
+# Download a file from this dataset
+path = hf_hub_download(
+    repo_id="QuantaAlpha/qlib_csi300",
+    filename="daily_pv.h5",
+    repo_type="dataset"
+)
+df = pd.read_hdf(path, key="data")
+```
 
-- time-series-forecasting
-- quantitative-finance
+**Note:** The key is always `"data"` for all HDF5 files in this dataset.
 
-tags:
+## How to read the files locally
 
-- finance
-- quantitative
-- qlib
-- factor
-- time-series
+If you have already downloaded the files:
 
-pretty_name: QuantaAlpha Qlib CSI300 Dataset
+```python
+import pandas as pd
+df = pd.read_hdf("daily_pv.h5", key="data")
+```
 
----
+## Field description (daily price and volume)
 
+| Field    | Description                          |
+| -------- | ------------------------------------ |
+| open     | Open price of the stock on that day  |
+| close    | Close price of the stock on that day |
+| high     | High price of the stock on that day  |
+| low      | Low price of the stock on that day   |
+| volume   | Trading volume on that day           |
+| factor   | Adjusted factor value                |