Datasets:
Commit ·
2ab4c73
1
Parent(s): e2feb11
Update README.md
Browse files
README.md
CHANGED
|
@@ -30,10 +30,22 @@ This is a copy of the [MS^2](https://huggingface.co/datasets/allenai/mslr2022) d
|
|
| 30 |
- __query__: The `background` field of each example
|
| 31 |
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits. A document is the concatenation of the `title` and `abstract`.
|
| 32 |
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
|
| 33 |
-
- __top-k strategy__: `"max"`, i.e. the number of documents retrieved, `k`, is set as the maximum number of documents seen across examples in this dataset
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
|
| 35 |
Retrieval results on the `validation` set:
|
| 36 |
|
| 37 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 38 |
| ----------- | ----------- | ----------- | ----------- |
|
| 39 |
-
| 0.
|
|
|
|
| 30 |
- __query__: The `background` field of each example
|
| 31 |
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits. A document is the concatenation of the `title` and `abstract`.
|
| 32 |
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
|
| 33 |
+
- __top-k strategy__: `"max"`, i.e. the number of documents retrieved, `k`, is set as the maximum number of documents seen across examples in this dataset, in this case `k==25`
|
| 34 |
+
|
| 35 |
+
Retrieval results on the `train` set:
|
| 36 |
+
|
| 37 |
+
| Recall@100 | Rprec | Precision@k | Recall@k |
|
| 38 |
+
| ----------- | ----------- | ----------- | ----------- |
|
| 39 |
+
| 0.4764 | 0.2395 | 0.1932 | 0.2895 |
|
| 40 |
|
| 41 |
Retrieval results on the `validation` set:
|
| 42 |
|
| 43 |
+
| Recall@100 | Rprec | Precision@k | Recall@k |
|
| 44 |
+
| ----------- | ----------- | ----------- | ----------- |
|
| 45 |
+
| 0.4364 | 0.2125 | 0.1823 | 0.2524 |
|
| 46 |
+
|
| 47 |
+
Retrieval results on the `test` set:
|
| 48 |
+
|
| 49 |
+
| Recall@100 | Rprec | Precision@k | Recall@k |
|
| 50 |
| ----------- | ----------- | ----------- | ----------- |
|
| 51 |
+
| 0.4481 | 0.2224 | 0.1943 | 0.2567 |
|