Datasets:

MattiaL
/

tapir-cleaned-116k

Tasks:

Text Generation

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Languages:

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Tags:

instruction-finetuning

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MattiaL commited on May 9, 2023

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@@ -53,7 +53,7 @@ The data in Tapir are mainly in English (BCP-47 en).
 The data fields are as follows:
 * `instruction`: describes the task the model should perform.
-* `input`: context or input for the task.  Each of the 68K input is unique.
 * `output`: the answer taken from the original Tapir Dataset formatted as an IFTTT recipe.
 * `score`: the correlation score obtained via BertForNextSentencePrediction
 * `text`: the `instruction`, `input` and `output` formatted with the [prompt template](https://github.com/tatsu-lab/stanford_alpaca#data-release) used by the authors of Alpaca for fine-tuning their models.

 The data fields are as follows:
 * `instruction`: describes the task the model should perform.
+* `input`: context or input for the task.  Each of the 116K input is unique.
 * `output`: the answer taken from the original Tapir Dataset formatted as an IFTTT recipe.
 * `score`: the correlation score obtained via BertForNextSentencePrediction
 * `text`: the `instruction`, `input` and `output` formatted with the [prompt template](https://github.com/tatsu-lab/stanford_alpaca#data-release) used by the authors of Alpaca for fine-tuning their models.