Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
Japanese
Size:
1K - 10K
ArXiv:
License:
Add dataset card
Browse files
README.md
CHANGED
|
@@ -6,7 +6,7 @@ language:
|
|
| 6 |
license: cc-by-4.0
|
| 7 |
multilinguality: monolingual
|
| 8 |
source_datasets:
|
| 9 |
-
-
|
| 10 |
- sbintuitions/JMTEB
|
| 11 |
task_categories:
|
| 12 |
- text-retrieval
|
|
@@ -87,7 +87,7 @@ This dataset was created from the Japanese NLP Journal LaTeX Corpus. The titles,
|
|
| 87 |
| Reference | https://huggingface.co/datasets/sbintuitions/JMTEB |
|
| 88 |
|
| 89 |
Source datasets:
|
| 90 |
-
- [
|
| 91 |
- [sbintuitions/JMTEB](https://huggingface.co/datasets/sbintuitions/JMTEB)
|
| 92 |
|
| 93 |
|
|
@@ -158,7 +158,35 @@ desc_stats = task.metadata.descriptive_stats
|
|
| 158 |
```
|
| 159 |
|
| 160 |
```json
|
| 161 |
-
{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 162 |
```
|
| 163 |
|
| 164 |
</details>
|
|
|
|
| 6 |
license: cc-by-4.0
|
| 7 |
multilinguality: monolingual
|
| 8 |
source_datasets:
|
| 9 |
+
- mteb/NLPJournalAbsArticleRetrieval
|
| 10 |
- sbintuitions/JMTEB
|
| 11 |
task_categories:
|
| 12 |
- text-retrieval
|
|
|
|
| 87 |
| Reference | https://huggingface.co/datasets/sbintuitions/JMTEB |
|
| 88 |
|
| 89 |
Source datasets:
|
| 90 |
+
- [mteb/NLPJournalAbsArticleRetrieval](https://huggingface.co/datasets/mteb/NLPJournalAbsArticleRetrieval)
|
| 91 |
- [sbintuitions/JMTEB](https://huggingface.co/datasets/sbintuitions/JMTEB)
|
| 92 |
|
| 93 |
|
|
|
|
| 158 |
```
|
| 159 |
|
| 160 |
```json
|
| 161 |
+
{
|
| 162 |
+
"test": {
|
| 163 |
+
"num_samples": 1147,
|
| 164 |
+
"number_of_characters": 18284492,
|
| 165 |
+
"documents_statistics": {
|
| 166 |
+
"total_text_length": 18046459,
|
| 167 |
+
"min_text_length": 8537,
|
| 168 |
+
"average_text_length": 28330.390894819466,
|
| 169 |
+
"max_text_length": 92725,
|
| 170 |
+
"unique_texts": 637
|
| 171 |
+
},
|
| 172 |
+
"queries_statistics": {
|
| 173 |
+
"total_text_length": 238033,
|
| 174 |
+
"min_text_length": 18,
|
| 175 |
+
"average_text_length": 466.7313725490196,
|
| 176 |
+
"max_text_length": 1290,
|
| 177 |
+
"unique_texts": 510
|
| 178 |
+
},
|
| 179 |
+
"relevant_docs_statistics": {
|
| 180 |
+
"num_relevant_docs": 510,
|
| 181 |
+
"min_relevant_docs_per_query": 1,
|
| 182 |
+
"average_relevant_docs_per_query": 1.0,
|
| 183 |
+
"max_relevant_docs_per_query": 1,
|
| 184 |
+
"unique_relevant_docs": 510
|
| 185 |
+
},
|
| 186 |
+
"instructions_statistics": null,
|
| 187 |
+
"top_ranked_statistics": null
|
| 188 |
+
}
|
| 189 |
+
}
|
| 190 |
```
|
| 191 |
|
| 192 |
</details>
|