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@@ -64,23 +64,23 @@ This is the test split of the [GovReport](https://huggingface.co/datasets/launch
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  This dataset is intended to facilitate the consistent and reproducible evaluation of information retrieval models on GovReport with the [`mteb`](https://github.com/embeddings-benchmark/mteb) embedding model evaluation framework.
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- More specifically, this dataset tests the ability of information retrieval models to identify US government reports.
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  This dataset has been processed into the MTEB format by [Isaacus](https://isaacus.com/), a legal AI research company.
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  ## Methodology 🧪
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  To understand how GovReport was created, refer to its creators' [paper](https://arxiv.org/abs/2104.02112).
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- This dataset was formatted by labelling `summary` columns of the source data as queries (or anchors), and treating the `document` column as relevant (or positive) passages.
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  ## Structure 🗂️
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  As per the MTEB information retrieval dataset format, this dataset comprises three splits, `default`, `corpus` and `queries`.
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- The `default` split pairs summaries (`query-id`) with the government report (`corpus-id`), each pair having a `score` of 1.
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- The `corpus` split contains information from the government report, with the raw text of a report being stored in the `text` key and its id being stored in the `_id` key.
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- The `queries` split contains summaries, with the text of the report summary being stored in the `text` key and its id being stored in the `_id` key.
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  ## License 📜
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  To the extent that any intellectual property rights reside in the contributions made by Isaacus in formatting and processing this dataset, Isaacus licenses those contributions under the same license terms as the source dataset. You are free to use this dataset without citing Isaacus.
 
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  This dataset is intended to facilitate the consistent and reproducible evaluation of information retrieval models on GovReport with the [`mteb`](https://github.com/embeddings-benchmark/mteb) embedding model evaluation framework.
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+ More specifically, this dataset tests the ability of information retrieval models to retrieve US government reports from on their summaries.
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  This dataset has been processed into the MTEB format by [Isaacus](https://isaacus.com/), a legal AI research company.
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  ## Methodology 🧪
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  To understand how GovReport was created, refer to its creators' [paper](https://arxiv.org/abs/2104.02112).
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+ This dataset was formatted by treating the `summary` column of GovReport as queries (or anchors) and the `document` column as relevant (or positive) passages.
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  ## Structure 🗂️
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  As per the MTEB information retrieval dataset format, this dataset comprises three splits, `default`, `corpus` and `queries`.
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+ The `default` split pairs summaries (`query-id`, linked to the `_id` column of the `queries` split) with government reports (`corpus-id`, linked to the `_id` column of the `corpus` split), each pair having a `score` of `1`.
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+ The `corpus` split contains government reports, with the text of a report being stored in the `text` key and its id being stored in the `_id` key.
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+ The `queries` split contains summaries, with the text of a summary being stored in the `text` key and its id being stored in the `_id` key.
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  ## License 📜
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  To the extent that any intellectual property rights reside in the contributions made by Isaacus in formatting and processing this dataset, Isaacus licenses those contributions under the same license terms as the source dataset. You are free to use this dataset without citing Isaacus.