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What is the evaluation metric used in the results? mAP or mAP@50?
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运行
import mteb
from sentence_transformers import SentenceTransformer
model_name = "BAAI/bge-reranker-base"
model = SentenceTransformer(model_name)
tasks = mteb.get_tasks(tasks=["SciDocsRR"…
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### Title of the resource
Evaluation of Digital Heritage Experiences
### Resource type
External Resource
### Authors, editors and contributors
Myrsini Samaroudi
### Topics (keywords)
evaluation…
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1. The current implementation `reinterpret_cast`s between `node_type` and `json_type`. `reinterpret_cast` is very likely to (although not always) result in UB here, and it always breaks constant evalu…
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According to the State of the art model [evaluation](https://paperswithcode.com/sota/object-detection-on-coco) in papers with code, Transformer based object detectors provide better `box mAP` that yol…
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Is the data loader used for training and testing the same? I only found the data loader for training in the train_net, is the data loader used for the test also this?Thank you for your contribution.
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In my project, I have a large `unordered_map` that I use to store command line debug flags and attributes for those flags. I was performing some copy-paste programming to add a few new flags and accid…
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Several information retrieval "tasks" use a few common evaluation metrics including mean average precision (MAP) [1] and recall@k, in addition to what is already supported (e.g. ERR, nDCG, MRR). Somet…
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I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug.
**Describe the bug**
I am trying to run the template code from the Github ReadMe page.…
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## TODO
**1st iteration**
- [x] Dump the assessments into the `evaluation.csv` every time a task is executed
**2nd iteration**
- [x] Create the other CSVs from the `evaluation.csv`
- read…