Comments (5)
After reviewing the codebase, it seems like the new-dev creates a new abstraction layer on top of the existing scripts. So I would say that new-dev brach is they way to move forward. This is the existing relationship:
ares.py
│
├── synthetic_generator.py
| └── LLM_as_a_Judge_Adaptation/Generate_Synthetic_Queries_and_Answers.py
│ ├── LLM_as_a_Judge_Adaptation/LLM_Generation_Functions.py
│ └── LLM_as_a_Judge_Adaptation/Filter_Synthetic_Queries.py
│
├── binary_classifier.py
│ └── LLM_as_a_Judge_Adaptation/General_Binary_Classifier.py
│
├── rag_scoring.py
│ └── RAG_Automatic_Evaluation/LLMJudge_RAG_Compared_Scoring.py
│ └── RAG_Automatic_Evaluation/Evaluation_Functions.py
| └── RAG_Automatic_Evaluation/ppi.py
|
└── ues_idp.py
└── RAG_Automatic_Evaluation/Evaluation_Functions.py
from ares.
In the training classifier page, the full example code doesn't work:
- The test_set_selection file used is not available in the repo: ratio_0.5_reformatted_full_articles_False_validation_with_negatives.tsv
- Classification_dataset parameter should be a string not a list, otherwise you'll get the following error:
TypeError: Parameter 'classification_dataset' for classifier_model is expected to be of type str, received list instead. - There is a missing parameter required to run the script: ValueError: Missing required parameter 'validation_set' for classifier_model. The current code in the library uses validation_set instead of test_set_selection.
- Label_column should not be a list but a string.
from ares.
Just to clarify the situation, the documentation at the vercel site is related to the new-dev branch. The legacy documentation in the README.md relates to the scripts only.
I am finding my way on the new documentation, trying to fix typos and routes on the new-dev branch.
from ares.
Hello,
I've also encountered issues trying to reproduce the results of the paper using the code from this repository's main branch. Do you think using the new developers' branch is better suited for this purpose?
from ares.
After the last update, it makes no sense to keep fixing issues in the legacy docs. Let's review the last updates to see how many of these issues remain relevant!
from ares.
Related Issues (20)
- getting TypeError: 'type' object is not subscriptable when importing the package HOT 1
- [bug] error during import - vLLM not imported. HOT 1
- Missing protobuf dependencies in ARES 0.6.1 PyPi package HOT 1
- Evaluating more than one dataset at a time returns incorrect results
- Evaluation process only works with demo datasets, fails with any real dataset (that has only the columns described in the paper) HOT 2
- None of the tutorials work HOT 9
- ARES as a Chunk Reranker in a RAG app? HOT 3
- TGI Support
- LLM approach for synthetic query generation not using specified prompt HOT 1
- Azure OpenAI support HOT 1
- Other checkpoints HOT 1
- OutOfMemoryError when Running Example Code with ARES HOT 1
- The local model needs to pass in a token in order to request it, May I ask if there is such a parameter HOT 1
- Training classifiers error
- Unclear about the code of calculate_ppi function HOT 1
- Reproducing results HOT 3
- Error while training LLM judge HOT 4
- Error while evaluating with PPI with API model LLM judge
- Error while training classifier
- Source of nq_labeled_output.tsv
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from ares.