Datasets:
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README.md
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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-
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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:
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