Wrap dataset details in details/summary

README.md

@@ -1162,7 +1162,7 @@ You can finetune this model on your own dataset.
 
 ### Training Datasets
 
-#### gooaq
+<details><summary>gooaq</summary>
 
 * Dataset: [gooaq](https://huggingface.co/datasets/sentence-transformers/gooaq) at [b089f72](https://huggingface.co/datasets/sentence-transformers/gooaq/tree/b089f728748a068b7bc5234e5bcf5b25e3c8279c)
 * Size: 3,012,496 training samples
@@ -1202,7 +1202,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### msmarco
+</details>
+
+<details><summary>msmarco</summary>
 
 * Dataset: [msmarco](https://huggingface.co/datasets/sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1) at [84ed2d3](https://huggingface.co/datasets/sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1/tree/84ed2d35626f617d890bd493b4d6db69a741e0e2)
 * Size: 502,939 training samples
@@ -1242,7 +1244,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### squad
+</details>
+
+<details><summary>squad</summary>
 
 * Dataset: [squad](https://huggingface.co/datasets/sentence-transformers/squad) at [d84c8c2](https://huggingface.co/datasets/sentence-transformers/squad/tree/d84c8c2ef64693264c890bb242d2e73fc0a46c40)
 * Size: 87,599 training samples
@@ -1282,7 +1286,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### s2orc
+</details>
+
+<details><summary>s2orc</summary>
 
 * Dataset: [s2orc](https://huggingface.co/datasets/sentence-transformers/s2orc) at [8cfc394](https://huggingface.co/datasets/sentence-transformers/s2orc/tree/8cfc394e83b2ebfcf38f90b508aea383df742439)
 * Size: 90,000 training samples
@@ -1322,7 +1328,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### allnli
+</details>
+
+<details><summary>allnli</summary>
 
 * Dataset: [allnli](https://huggingface.co/datasets/sentence-transformers/all-nli) at [d482672](https://huggingface.co/datasets/sentence-transformers/all-nli/tree/d482672c8e74ce18da116f430137434ba2e52fab)
 * Size: 557,850 training samples
@@ -1362,7 +1370,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### paq
+</details>
+
+<details><summary>paq</summary>
 
 * Dataset: [paq](https://huggingface.co/datasets/sentence-transformers/paq) at [74601d8](https://huggingface.co/datasets/sentence-transformers/paq/tree/74601d8d731019bc9c627ffc4271cdd640e1e748)
 * Size: 64,371,441 training samples
@@ -1402,7 +1412,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### trivia_qa
+</details>
+
+<details><summary>trivia</summary>_qa
 
 * Dataset: [trivia_qa](https://huggingface.co/datasets/sentence-transformers/trivia-qa) at [a7c36e3](https://huggingface.co/datasets/sentence-transformers/trivia-qa/tree/a7c36e3c8c8c01526bc094d79bf80d4c848b0ad0)
 * Size: 73,346 training samples
@@ -1442,7 +1454,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### msmarco_10m
+</details>
+
+<details><summary>msmarco_10m</summary>
 
 * Dataset: [msmarco_10m](https://huggingface.co/datasets/bclavie/msmarco-10m-triplets) at [8c5139a](https://huggingface.co/datasets/bclavie/msmarco-10m-triplets/tree/8c5139a245a5997992605792faa49ec12a6eb5f2)
 * Size: 10,000,000 training samples
@@ -1482,7 +1496,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### swim_ir
+</details>
+
+<details><summary>swim_ir</summary>
 
 * Dataset: [swim_ir](https://huggingface.co/datasets/nthakur/swim-ir-monolingual) at [834c20f](https://huggingface.co/datasets/nthakur/swim-ir-monolingual/tree/834c20f0ceef6a68e029fb4447d17d20bb0288c3)
 * Size: 501,538 training samples
@@ -1522,7 +1538,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### pubmedqa
+</details>
+
+<details><summary>pubmedqa</summary>
 
 * Dataset: [pubmedqa](https://huggingface.co/datasets/sentence-transformers/pubmedqa) at [a1ef0b5](https://huggingface.co/datasets/sentence-transformers/pubmedqa/tree/a1ef0b513b16ed490e807ac11da40e436d3a54c3)
 * Size: 1,660 training samples
@@ -1562,7 +1580,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### miracl
+</details>
+
+<details><summary>miracl</summary>
 
 * Dataset: [miracl](https://huggingface.co/datasets/sentence-transformers/miracl) at [07e2b62](https://huggingface.co/datasets/sentence-transformers/miracl/tree/07e2b629250bf4185f4c87f640fac15949b8aa73)
 * Size: 789,900 training samples
@@ -1602,7 +1622,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### mldr
+</details>
+
+<details><summary>mldr</summary>
 
 * Dataset: [mldr](https://huggingface.co/datasets/sentence-transformers/mldr) at [40ad767](https://huggingface.co/datasets/sentence-transformers/mldr/tree/40ad7672817ebee49e00dd25aed00e1c401881d6)
 * Size: 200,000 training samples
@@ -1642,7 +1664,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### mr_tydi
+</details>
+
+<details><summary>mr_tydi</summary>
 
 * Dataset: [mr_tydi](https://huggingface.co/datasets/sentence-transformers/mr-tydi) at [abbdf55](https://huggingface.co/datasets/sentence-transformers/mr-tydi/tree/abbdf55c630352da943f779610c3ce6268118351)
 * Size: 354,700 training samples
@@ -1682,9 +1706,11 @@ You can finetune this model on your own dataset.
   }
   ```
 
+</details>
+
 ### Evaluation Datasets
 
-#### gooaq
+<details><summary>gooaq</summary>
 
 * Dataset: [gooaq](https://huggingface.co/datasets/sentence-transformers/gooaq) at [b089f72](https://huggingface.co/datasets/sentence-transformers/gooaq/tree/b089f728748a068b7bc5234e5bcf5b25e3c8279c)
 * Size: 3,012,496 evaluation samples
@@ -1724,7 +1750,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### msmarco
+</details>
+
+<details><summary>msmarco</summary>
 
 * Dataset: [msmarco](https://huggingface.co/datasets/sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1) at [84ed2d3](https://huggingface.co/datasets/sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1/tree/84ed2d35626f617d890bd493b4d6db69a741e0e2)
 * Size: 502,939 evaluation samples
@@ -1764,7 +1792,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### squad
+</details>
+
+<details><summary>squad</summary>
 
 * Dataset: [squad](https://huggingface.co/datasets/sentence-transformers/squad) at [d84c8c2](https://huggingface.co/datasets/sentence-transformers/squad/tree/d84c8c2ef64693264c890bb242d2e73fc0a46c40)
 * Size: 87,599 evaluation samples
@@ -1804,7 +1834,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### s2orc
+</details>
+
+<details><summary>s2orc</summary>
 
 * Dataset: [s2orc](https://huggingface.co/datasets/sentence-transformers/s2orc) at [8cfc394](https://huggingface.co/datasets/sentence-transformers/s2orc/tree/8cfc394e83b2ebfcf38f90b508aea383df742439)
 * Size: 10,000 evaluation samples
@@ -1844,7 +1876,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### allnli
+</details>
+
+<details><summary>allnli</summary>
 
 * Dataset: [allnli](https://huggingface.co/datasets/sentence-transformers/all-nli) at [d482672](https://huggingface.co/datasets/sentence-transformers/all-nli/tree/d482672c8e74ce18da116f430137434ba2e52fab)
 * Size: 6,584 evaluation samples
@@ -1884,7 +1918,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### paq
+</details>
+
+<details><summary>paq</summary>
 
 * Dataset: [paq](https://huggingface.co/datasets/sentence-transformers/paq) at [74601d8](https://huggingface.co/datasets/sentence-transformers/paq/tree/74601d8d731019bc9c627ffc4271cdd640e1e748)
 * Size: 64,371,441 evaluation samples
@@ -1924,7 +1960,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### trivia_qa
+</details>
+
+<details><summary>trivia_qa</summary>
 
 * Dataset: [trivia_qa](https://huggingface.co/datasets/sentence-transformers/trivia-qa) at [a7c36e3](https://huggingface.co/datasets/sentence-transformers/trivia-qa/tree/a7c36e3c8c8c01526bc094d79bf80d4c848b0ad0)
 * Size: 73,346 evaluation samples
@@ -1964,7 +2002,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### msmarco_10m
+</details>
+
+<details><summary>msmarco_10m</summary>
 
 * Dataset: [msmarco_10m](https://huggingface.co/datasets/bclavie/msmarco-10m-triplets) at [8c5139a](https://huggingface.co/datasets/bclavie/msmarco-10m-triplets/tree/8c5139a245a5997992605792faa49ec12a6eb5f2)
 * Size: 10,000,000 evaluation samples
@@ -2004,7 +2044,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### swim_ir
+</details>
+
+<details><summary>swim_ir</summary>
 
 * Dataset: [swim_ir](https://huggingface.co/datasets/nthakur/swim-ir-monolingual) at [834c20f](https://huggingface.co/datasets/nthakur/swim-ir-monolingual/tree/834c20f0ceef6a68e029fb4447d17d20bb0288c3)
 * Size: 501,538 evaluation samples
@@ -2044,7 +2086,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### pubmedqa
+</details>
+
+<details><summary>pubmedqa</summary>
 
 * Dataset: [pubmedqa](https://huggingface.co/datasets/sentence-transformers/pubmedqa) at [a1ef0b5](https://huggingface.co/datasets/sentence-transformers/pubmedqa/tree/a1ef0b513b16ed490e807ac11da40e436d3a54c3)
 * Size: 1,660 evaluation samples
@@ -2084,7 +2128,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### miracl
+</details>
+
+<details><summary>miracl</summary>
 
 * Dataset: [miracl](https://huggingface.co/datasets/sentence-transformers/miracl) at [07e2b62](https://huggingface.co/datasets/sentence-transformers/miracl/tree/07e2b629250bf4185f4c87f640fac15949b8aa73)
 * Size: 789,900 evaluation samples
@@ -2124,7 +2170,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### mldr
+</details>
+
+<details><summary>mldr</summary>
 
 * Dataset: [mldr](https://huggingface.co/datasets/sentence-transformers/mldr) at [40ad767](https://huggingface.co/datasets/sentence-transformers/mldr/tree/40ad7672817ebee49e00dd25aed00e1c401881d6)
 * Size: 200,000 evaluation samples
@@ -2164,7 +2212,9 @@ You can finetune this model on your own dataset.
   }
   ```
 
-#### mr_tydi
+</details>
+
+<details><summary>mr_tydi</summary>
 
 * Dataset: [mr_tydi](https://huggingface.co/datasets/sentence-transformers/mr-tydi) at [abbdf55](https://huggingface.co/datasets/sentence-transformers/mr-tydi/tree/abbdf55c630352da943f779610c3ce6268118351)
 * Size: 354,700 evaluation samples
@@ -2204,6 +2254,8 @@ You can finetune this model on your own dataset.
   }
   ```
 
+</details>
+
 ### Training Hyperparameters
 #### Non-Default Hyperparameters