integrate source lists

README.md

@@ -65,22 +65,11 @@ The focus of this huggingface dataset is to organise the data for fine-grained d
 - data includes: date, document_type, document_id, target_word, and text.
 
 The dataset builder requires a `years` argument, which must be an interable of years between 1979 and 2019 (inclusive). This can be supplied to the `load_dataset` function as a keyword argument.
-For example, to load all of the data:
+For example, to load raw sentences from the `prop` and `bet` data sources run:
 
 ```python
 from datasets import load_dataset
-data = load_dataset('ChangeIsKey/openRD-103', years=range(1979,2020))
+data = load_dataset('ChangeIsKey/open-riksdag', 'sentences' years=range(1999,2000), sources=['prop', 'bet'])
 ```
 
-The data can take some time to load/extract. Using [dataset streaming](https://huggingface.co/docs/datasets/stream) may be an option. Size of data by decade can be found below:
-
-|       | bytes | sentences | tokens |
-|-------|-------|-----------|--------|
-| 1979  | 118Mb | 0.409M    | 10M    |
-| 1980s | 1.4Gb | 4.7M      | 118M   |
-| 1990s | 2.2Gb | 5.3M      | 202M   |
-| 2000s | 4.0Gb | 11.8M     | 338M   |
-| 2010s | 4.4Gb | 14.1M     | 361M   |
-| total | 13Gb  | 36.9M     | 279M   |
-
-License is CC BY 4.0 with attribution.
+License is CC BY 4.0 with attribution.