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fix: Add training dataset to model meta #1561

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merged 3 commits into from
Dec 8, 2024

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KennethEnevoldsen
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@KennethEnevoldsen KennethEnevoldsen commented Dec 7, 2024

Adresses #1556

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  • Run tests locally to make sure nothing is broken using make test.
  • Run the formatter to format the code using make lint.

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Nice! Just one suggestion, and can be done in a separate PR.

@@ -97,7 +98,7 @@ class ModelMeta(BaseModel):
reference: STR_URL | None = None
similarity_fn_name: DISTANCE_METRICS | None = None
use_instructions: bool | None = None
zero_shot_benchmarks: list[str] | None = None
training_datasets: dict[str, list[str]] | None = None
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Will the dataset name be validated somehow, e.g. must match with one of the existing dataset names within MTEB?

If so, where should that validation be?

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I think this is hard to validate because there might be datasets intended only for training that overlap with some tasks

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@Samoed By validation, I'm referring whether the entered dataset name is from the list of tasks in MTEB. Right now, this field accepts any dataset name, e.g. "ABCDE", but such a dataset does not exist in MTEB, and I feel that should an invalid entry in the model meta. Could you elaborate what "that overlap with some tasks" means?

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For example, if a model is trained on the NLLB dataset, some bitext mining datasets might potentially leak into the training data, but it's hard to determine which ones. Similarly, if a model is trained on Wikipedia, many datasets could have overlapping examples in the training data. Identifying these overlaps would require extensive testing to pinpoint where the leaks occur.

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Would be great to have validation, though I could imagine that people would also add datasets that are not in mteb here

@KennethEnevoldsen KennethEnevoldsen merged commit 6489fca into main Dec 8, 2024
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@KennethEnevoldsen KennethEnevoldsen deleted the add-training-dataset-to-model-meta branch December 8, 2024 02:15
isaac-chung pushed a commit that referenced this pull request Dec 9, 2024
* fix: Count unique texts, data leaks in calculate metrics (#1438)
* add more stat
* add more stat
* update statistics
* fix: update task metadata to allow for null (#1448)
* Update tasks table
* 1.19.5
Automatically generated by python-semantic-release
* Fix: Made data parsing in the leaderboard figure more robust (#1450)
Bugfixes with data parsing in main figure
* Fixed task loading (#1451)
* Fixed task result loading from disk
* Fixed task result loading from disk
* fix: publish (#1452)
* 1.19.6
Automatically generated by python-semantic-release
* fix: Fix load external results with `None` mteb_version (#1453)
* fix
* lint
* 1.19.7
Automatically generated by python-semantic-release
* WIP: Polishing up leaderboard UI (#1461)
* fix: Removed column wrapping on the table, so that it remains readable
* Added disclaimer to figure
* fix: Added links to task info table, switched out license with metric
* fix: loading pre 1.11.0 (#1460)
* small fix
* fix: fix
* 1.19.8
Automatically generated by python-semantic-release
* fix: swap touche2020 to maintain compatibility (#1469)
swap touche2020 for parity
* 1.19.9
Automatically generated by python-semantic-release
* docs: Add sum per language for task counts (#1468)
* add sum per lang
* add sort by sum option
* make lint
* fix: pinned datasets to <3.0.0 (#1470)
* 1.19.10
Automatically generated by python-semantic-release
* feat: add CUREv1 retrieval dataset (#1459)
* feat: add CUREv1 dataset
---------
Co-authored-by: nadshe <[email protected]>
Co-authored-by: olivierr42 <[email protected]>
Co-authored-by: Daniel Buades Marcos <[email protected]>
* feat: add missing domains to medical tasks
* feat: modify benchmark tasks
* chore: benchmark naming
---------
Co-authored-by: nadshe <[email protected]>
Co-authored-by: olivierr42 <[email protected]>
* Update tasks table
* 1.20.0
Automatically generated by python-semantic-release
* fix: check if `model` attr of model exists (#1499)
* check if model attr of model exists
* lint
* Fix retrieval evaluator
* 1.20.1
Automatically generated by python-semantic-release
* fix: Leaderboard demo data loading (#1507)
* Made get_scores error tolerant
* Added join_revisions, made get_scores failsafe
* Fetching metadata fixed fr HF models
* Added failsafe metadata fetching to leaderboard code
* Added revision joining to leaderboard app
* fix
* Only show models that have metadata, when filter_models is called
* Ran linting
* 1.20.2
Automatically generated by python-semantic-release
* fix: leaderboard only shows models that have ModelMeta (#1508)
Filtering for models that have metadata
* 1.20.3
Automatically generated by python-semantic-release
* fix: align readme with current mteb (#1493)
* align readme with current mteb
* align with mieb branch
* fix test
* 1.20.4
Automatically generated by python-semantic-release
* docs: Add lang family mapping and map to task table (#1486)
* add lang family mapping and map to task table
* make lint
* add back some unclassified lang codes
* Update tasks table
* fix: Ensure that models match the names on embedding-benchmarks/results (#1519)
* 1.20.5
Automatically generated by python-semantic-release
* fix: Adding missing metadata on models and mathcing names up with the results repo (#1528)
* Added Voyage 3 models
* Added correct metadata to Cohere models and matched names with the results repo
* 1.20.6
Automatically generated by python-semantic-release
* feat: Evaluate missing splits (#1525)
* fix: evaluate missing splits (#1268)
* implement partial evaluation for missing splits
* lint
* requested changes done from scratch
* test for missing split evaluation added
* uncomment test
* lint
* avoid circular import
* use TaskResult
* skip tests for now
---------
Co-authored-by: Isaac Chung <[email protected]>
* got test_all_splits_evaluated passing
* tests passing
* address review comments
* make lint
* handle None cases for kg_co2_emissions
* use new results info
---------
Co-authored-by: Thivyanth <[email protected]>
* 1.21.0
Automatically generated by python-semantic-release
* fix: Correct typos superseeded -> superseded (#1532)
fix typo -> superseded
* 1.21.1
Automatically generated by python-semantic-release
* fix: Task load data error for SICK-BR-STS and XStance (#1534)
* fix task load data for two tasks
* correct dataset keys
* 1.21.2
Automatically generated by python-semantic-release
* fix: Proprietary models now get correctly shown in leaderboard (#1530)
* Fixed showing proprietary models in leaderboard
* Added links to all OpenAI models
* Fixed table formatting issues
* Bumped Gradio version
* 1.21.3
Automatically generated by python-semantic-release
* docs: Add Model Meta parameters and metadata (#1536)
* add multi_qa_MiniLM_L6_cos_v1 model meta
* add all_mpnet_base_v2
* add parameters to model meta
* make lint
* add extra params to meta
* fix: add more model meta (jina, e5) (#1537)
* add e5 model meta
* address review comments
* 1.21.4
Automatically generated by python-semantic-release
* Add cohere models (#1538)
* fix: bug cohere names
* format
* fix: add nomic models (#1543)
#1515
* fix: Added all-minilm-l12-v2 (#1542)
#1515
* fix: Added arctic models (#1541)
#1515
* fix: add sentence trimming to OpenAIWrapper (#1526)
* fix: add sentence trimming to OpenAIWrapper
* fix: import tiktoken library inside encode function
* fix: check tokenizer library installed and update ModelMeta to pass tokenizer_name
* fix: pass tokenizer_name, max_tokens to loader
* fix: make tokenizer_name None for default
* fix: delete changes for ModelMeta
* fix: fix revision to 2 for OpenAI models
* fix: add docstring for OpenAIWrapper
* fix: lint
* feat: add openai optional dependency set
* fix: add sleep for too many requests
* fix: add lint
* fix: delete evaluate file
* 1.21.5
Automatically generated by python-semantic-release
* fix: Fixed metadata errors (#1547)
* 1.21.6
Automatically generated by python-semantic-release
* fix: remove curev1 from multlingual (#1552)
Seems like it was added here:
1cc6c9e
* 1.21.7
Automatically generated by python-semantic-release
* fix: Add Model2vec (#1546)
* Added Model2Vec wrapper
* Added Model2vec models
* Added model2vec models to registry
* Added model2vec as a dependency
* Ran linting
* Update mteb/models/model2vec_models.py
Co-authored-by: Kenneth Enevoldsen <[email protected]>
* Update mteb/models/model2vec_models.py
Co-authored-by: Kenneth Enevoldsen <[email protected]>
* Added adapted_from and superseeded_by to model2vec models.
* Added missing import
* Moved pyproject.toml to optional dependencies
* Fixed typos
* Added import error and changed model to model_name
* Added Numpy to frameworks
* Added Numpy to frameworks
* Corrected false info on model2vec models
* Replaced np.inf with maxint
* Update mteb/models/model2vec_models.py
Co-authored-by: Isaac Chung <[email protected]>
* Added option to have infinite max tokens, added it to Model2vec
---------
Co-authored-by: Kenneth Enevoldsen <[email protected]>
Co-authored-by: Isaac Chung <[email protected]>
* Made result loading more permissive, changed eval splits for HotPotQA and DBPedia (#1554)
* Removed train and dev from eval splits on HotpotQA
* Removed dev from eval splits on DBPedia
* Made task_results validation more permissive
* Readded exception in get_score
* Ran linting
* 1.21.8
Automatically generated by python-semantic-release
* docs: Correction of SICK-R metadata (#1558)
* Correction of SICK-R metadata
* Correction of SICK-R metadata
---------
Co-authored-by: rposwiata <[email protected]>
* feat(google_models): fix issues and add support for `text-embedding-005` and `text-multilingual-embedding-002` (#1562)
* fix: google_models batching and prompt
* feat: add text-embedding-005 and text-multilingual-embedding-002
* chore: `make lint` errors
* fix: address PR comments
* 1.22.0
Automatically generated by python-semantic-release
* fix(bm25s): search implementation (#1566)
fix: bm25s implementation
* 1.22.1
Automatically generated by python-semantic-release
* docs: Fix dependency library name for bm25s (#1568)
* fix: bm25s implementation
* correct library name
---------
Co-authored-by: Daniel Buades Marcos <[email protected]>
* fix: Add training dataset to model meta (#1561)
* fix: Add training dataset to model meta
Adresses #1556
* Added docs
* format
* feat: (cohere_models) cohere_task_type issue, batch requests and tqdm for visualization (#1564)
* feat: batch requests to cohere models
* fix: use correct task_type
* feat: use tqdm with openai
* fix: explicitely set `show_progress_bar` to False
* fix(publichealth-qa):  ignore rows with `None` values in `question` or `answer` (#1565)
* 1.23.0
Automatically generated by python-semantic-release
* fix wongnai
* update inits
* fix tests
* lint
* update imports
* fix tests
* lint
---------
Co-authored-by: Kenneth Enevoldsen <[email protected]>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions <[email protected]>
Co-authored-by: Márton Kardos <[email protected]>
Co-authored-by: Isaac Chung <[email protected]>
Co-authored-by: Napuh <[email protected]>
Co-authored-by: Daniel Buades Marcos <[email protected]>
Co-authored-by: nadshe <[email protected]>
Co-authored-by: olivierr42 <[email protected]>
Co-authored-by: Thivyanth <[email protected]>
Co-authored-by: Youngjoon Jang <[email protected]>
Co-authored-by: Rafał Poświata <[email protected]>
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3 participants