Datasets:

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@@ -368,7 +368,7 @@ These are all the kept initial prompt messages with positive review result (no s
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  ### Using the Huggingface Datasets
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  While HF datasets is ideal for tabular datasets, it is not a natural fit for nested data structures like the OpenAssistant conversation trees.
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- Nevertheless, we make all messages which can also be found in the file `2023-04-12_oasst_ready.trees.jsonl.gz` available in parquet as train/validation splits.
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  These are directly loadable by [Huggingface Datasets](https://pypi.org/project/datasets/).
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  To load the oasst2 train & validation splits use:
 
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  ### Using the Huggingface Datasets
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  While HF datasets is ideal for tabular datasets, it is not a natural fit for nested data structures like the OpenAssistant conversation trees.
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+ Nevertheless, we make all messages which can also be found in the file `2023-11-05_oasst2_ready.messages.jsonl.gz` available in parquet format as train/validation splits.
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  These are directly loadable by [Huggingface Datasets](https://pypi.org/project/datasets/).
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  To load the oasst2 train & validation splits use: