Datasets:

sentence-transformers
/

t2ranking

Tasks:

Feature Extraction

Sentence Similarity

Modalities:

Formats:

Languages:

Size:

Tags:

sentence-transformers

Libraries:

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tomaarsen HF staff commited on Jun 20

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2120acd

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1 Parent(s): 05cb921

Update README.md

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@@ -101,7 +101,7 @@ This is a reformatting of the T2Ranking dataset used to train the [BGE-M3 model]
 ## Dataset Subsets
-### `...-triplet` subset
 * Columns: "anchor", "positive", "negative"
 * Column types: `str`, `str`, `str`
@@ -116,7 +116,7 @@ This is a reformatting of the T2Ranking dataset used to train the [BGE-M3 model]
 * Collection strategy: Reading the T2Ranking jsonl files in [Shitao/bge-m3-data](https://huggingface.co/datasets/Shitao/bge-m3-data) and taking only the first positive and first negative.
 * Deduplified: No
-### `...-triplet-15` subset
 * Columns: "anchor", "positive", "negative_1", ..., "negative_15"
 * Column types: `str`, ..., `str`
@@ -145,7 +145,7 @@ This is a reformatting of the T2Ranking dataset used to train the [BGE-M3 model]
 * Collection strategy: Reading the T2Ranking jsonl files in [Shitao/bge-m3-data](https://huggingface.co/datasets/Shitao/bge-m3-data), using all positives and the 15 negatives.
 * Deduplified: No
-### `...-triplet-all` subset
 * Columns: "anchor", "positive", "negative"
 * Column types: `str`, `str`, `str`

 ## Dataset Subsets
+### `triplet` subset
 * Columns: "anchor", "positive", "negative"
 * Column types: `str`, `str`, `str`
 * Collection strategy: Reading the T2Ranking jsonl files in [Shitao/bge-m3-data](https://huggingface.co/datasets/Shitao/bge-m3-data) and taking only the first positive and first negative.
 * Deduplified: No
+### `triplet-15` subset
 * Columns: "anchor", "positive", "negative_1", ..., "negative_15"
 * Column types: `str`, ..., `str`
 * Collection strategy: Reading the T2Ranking jsonl files in [Shitao/bge-m3-data](https://huggingface.co/datasets/Shitao/bge-m3-data), using all positives and the 15 negatives.
 * Deduplified: No
+### `triplet-all` subset
 * Columns: "anchor", "positive", "negative"
 * Column types: `str`, `str`, `str`