Feat/rsg (#1577)

deeppavlov · Jul 14, 2022 · bfd5cd0 · bfd5cd0
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diff --git a/README.md b/README.md
@@ -26,17 +26,15 @@ Please leave us [your feedback](https://forms.gle/i64fowQmiVhMMC7f9) on how we c
 
 **Models**
 
-[Named Entity Recognition](http://docs.deeppavlov.ai/en/master/features/models/ner.html)
+[Named Entity Recognition](http://docs.deeppavlov.ai/en/master/features/models/ner.html) | [Intent/Sentence Classification](http://docs.deeppavlov.ai/en/master/features/models/classifiers.html) |
 
-[Intent/Sentence Classification](http://docs.deeppavlov.ai/en/master/features/models/classifiers.html) |  [Question Answering over Text (SQuAD)](http://docs.deeppavlov.ai/en/master/features/models/squad.html) 
-
-[Knowledge Base Question Answering](http://docs.deeppavlov.ai/en/master/features/models/kbqa.html)
+[Question Answering over Text (SQuAD)](http://docs.deeppavlov.ai/en/master/features/models/squad.html) | [Knowledge Base Question Answering](http://docs.deeppavlov.ai/en/master/features/models/kbqa.html)
 
 [Sentence Similarity/Ranking](http://docs.deeppavlov.ai/en/master/features/models/neural_ranking.html) | [TF-IDF Ranking](http://docs.deeppavlov.ai/en/master/features/models/tfidf_ranking.html) 
 
-[Automatic Spelling Correction](http://docs.deeppavlov.ai/en/master/features/models/spelling_correction.html)
+[Automatic Spelling Correction](http://docs.deeppavlov.ai/en/master/features/models/spelling_correction.html) | [Entity Linking](http://docs.deeppavlov.ai/en/master/features/models/entity_linking.html)
 
-[Entity Linking](http://docs.deeppavlov.ai/en/master/features/models/entity_linking.html)
+[Russian SuperGLUE](http://docs.deeppavlov.ai/en/master/features/models/superglue.html)
 
 **Skills**
 
@@ -66,19 +64,13 @@ Please leave us [your feedback](https://forms.gle/i64fowQmiVhMMC7f9) on how we c
 
 0. We support `Linux` platform, `Python 3.6`, `3.7`, `3.8` and `3.9`
     * **`Python 3.5` is not supported!**
-    * **installation for `Windows` requires `Git`(for example, [git](https://git-scm.com/download/win)) and  `Visual Studio 2015/2017` with `C++` build tools installed!**
 
 1. Create and activate a virtual environment:
     * `Linux`
     ```
     python -m venv env
     source ./env/bin/activate
     ```
-    * `Windows`
-    ```
-    python -m venv env
-    .\env\Scripts\activate.bat
-    ```
 2. Install the package inside the environment:
     ```
     pip install deeppavlov

diff --git a/deeppavlov/configs/ner/ner_case_agnostic_mdistilbert.json b/deeppavlov/configs/ner/ner_case_agnostic_mdistilbert.json
@@ -1,6 +1,7 @@
 {
   "dataset_reader": {
     "class_name": "conll2003_reader",
+    "data_path": "{DOWNLOADS_PATH}/conll2003/",
     "dataset_name": "conll2003",
     "provide_pos": false
   },

diff --git a/deeppavlov/configs/russian_super_glue/russian_superglue_danetqa_rubert.json b/deeppavlov/configs/russian_super_glue/russian_superglue_danetqa_rubert.json
@@ -0,0 +1,105 @@
+{
+  "dataset_reader": {
+    "class_name": "huggingface_dataset_reader",
+    "path": "{COMPETITION}",
+    "name": "{TASK}",
+    "train": "train",
+    "valid": "validation",
+    "test": "test"
+  },
+  "dataset_iterator": {
+    "class_name": "huggingface_dataset_iterator",
+    "features": ["question", "passage"],
+    "label": "label",
+    "seed": 42
+  },
+  "chainer": {
+    "in": ["question", "passage"],
+    "in_y": ["y"],
+    "pipe": [
+      {
+        "class_name": "torch_transformers_preprocessor",
+        "vocab_file": "{BASE_MODEL}",
+        "do_lower_case": false,
+        "max_seq_length": 512,
+        "in": ["question", "passage"],
+        "out": ["bert_features"]
+      },
+      {
+        "id": "classes_vocab",
+        "class_name": "simple_vocab",
+        "fit_on": ["y"],
+        "save_path": "{MODEL_PATH}/classes.dict",
+        "load_path": "{MODEL_PATH}/classes.dict",
+        "in": ["y"],
+        "out": ["y_ids"]
+      },
+      {
+        "in": ["y_ids"],
+        "out": ["y_onehot"],
+        "class_name": "one_hotter",
+        "depth": "#classes_vocab.len",
+        "single_vector": true
+      },
+      {
+        "class_name": "torch_transformers_classifier",
+        "n_classes": "#classes_vocab.len",
+        "return_probas": true,
+        "pretrained_bert": "{BASE_MODEL}",
+        "is_binary": "{BINARY_CLASSIFICATION}",
+        "save_path": "{MODEL_PATH}/model",
+        "load_path": "{MODEL_PATH}/model",
+        "optimizer": "AdamW",
+        "optimizer_parameters": {"lr": 2e-05},
+        "in": ["bert_features"],
+        "in_y": ["y_ids"],
+        "out": ["y_pred_probas"]
+      },
+      {
+        "in": ["y_pred_probas"],
+        "out": ["y_pred_ids"],
+        "class_name": "proba2labels",
+        "is_binary": "{BINARY_CLASSIFICATION}",
+        "max_proba": true
+      },
+      {
+        "in": ["y_pred_ids"],
+        "out": ["y_pred_labels"],
+        "ref": "classes_vocab"
+      }
+    ],
+    "out": ["y_pred_labels"]
+  },
+  "train": {
+    "batch_size": 4,
+    "metrics": ["accuracy"],
+    "epochs": 10,
+    "validation_patience": 10,
+    "val_every_n_epochs": 1,
+    "log_every_n_epochs": 1,
+    "show_examples": false,
+    "evaluation_targets": ["train", "valid"],
+    "class_name": "torch_trainer",
+    "tensorboard_log_dir": "{MODEL_PATH}/",
+    "pytest_max_batches": 2,
+    "pytest_batch_size": 2
+  },
+  "metadata": {
+    "variables": {
+      "BASE_MODEL": "DeepPavlov/rubert-base-cased",
+      "ROOT_PATH": "~/.deeppavlov",
+      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
+      "MODELS_PATH": "{ROOT_PATH}/models",
+      "COMPETITION": "russian_super_glue",
+      "BINARY_CLASSIFICATION": false,
+      "TASK": "danetqa",
+      "MODEL_PATH": "{MODELS_PATH}/{COMPETITION}/{TASK}/{BASE_MODEL}"
+    },
+    "download": [
+      {
+        "url": "http://files.deeppavlov.ai/v1/russian_super_glue/russian_superglue_danetqa_rubert.tar.gz",
+        "subdir": "{MODEL_PATH}"
+      }
+    ]
+  }
+}
diff --git a/deeppavlov/configs/russian_super_glue/russian_superglue_lidirus_rubert.json b/deeppavlov/configs/russian_super_glue/russian_superglue_lidirus_rubert.json
@@ -0,0 +1,104 @@
+{
+  "dataset_reader": {
+    "class_name": "huggingface_dataset_reader",
+    "path": "{COMPETITION}",
+    "name": "{TASK}",
+    "test": "test"
+  },
+  "dataset_iterator": {
+    "class_name": "huggingface_dataset_iterator",
+    "features": ["sentence1", "sentence2"],
+    "label": "label",
+    "seed": 42
+  },
+  "chainer": {
+    "in": ["sentence1", "sentence2"],
+    "in_y": ["y"],
+    "pipe": [
+      {
+        "class_name": "torch_transformers_preprocessor",
+        "vocab_file": "{BASE_MODEL}",
+        "do_lower_case": false,
+        "max_seq_length": 256,
+        "in": ["sentence1", "sentence2"],
+        "out": ["bert_features"]
+      },
+      {
+        "id": "classes_vocab",
+        "class_name": "simple_vocab",
+        "fit_on": ["y"],
+        "save_path": "{MODEL_PATH}/classes.dict",
+        "load_path": "{MODEL_PATH}/classes.dict",
+        "in": ["y"],
+        "out": ["y_ids"]
+      },
+      {
+        "in": ["y_ids"],
+        "out": ["y_onehot"],
+        "class_name": "one_hotter",
+        "depth": "#classes_vocab.len",
+        "single_vector": true
+      },
+      {
+        "class_name": "torch_transformers_classifier",
+        "n_classes": "#classes_vocab.len",
+        "return_probas": true,
+        "pretrained_bert": "{BASE_MODEL}",
+        "is_binary": "{BINARY_CLASSIFICATION}",
+        "save_path": "{MODEL_PATH}/model",
+        "load_path": "{MODEL_PATH}/model",
+        "optimizer": "AdamW",
+        "optimizer_parameters": {"lr": 2e-05, "weight_decay": 0.1},
+        "learning_rate_drop_patience": 3,
+        "learning_rate_drop_div": 2.0,
+        "in": ["bert_features"],
+        "in_y": ["y_ids"],
+        "out": ["y_pred_probas"]
+      },
+      {
+        "in": ["y_pred_probas"],
+        "out": ["y_pred_ids"],
+        "class_name": "proba2labels",
+        "is_binary": "{BINARY_CLASSIFICATION}",
+        "confidence_threshold": 0.5
+      },
+      {
+        "in": ["y_pred_ids"],
+        "out": ["y_pred_labels"],
+        "ref": "classes_vocab"
+      }
+    ],
+    "out": ["y_pred_labels"]
+  },
+  "train": {
+    "batch_size": 16,
+    "metrics": ["matthews_correlation"],
+    "validation_patience": 10,
+    "val_every_n_epochs": 1,
+    "log_every_n_epochs": 1,
+    "show_examples": false,
+    "evaluation_targets": ["test"],
+    "class_name": "torch_trainer",
+    "tensorboard_log_dir": "{MODEL_PATH}/",
+    "pytest_max_batches": 2,
+    "pytest_batch_size": 2
+  },
+  "metadata": {
+    "variables": {
+      "BASE_MODEL": "DeepPavlov/rubert-base-cased",
+      "ROOT_PATH": "~/.deeppavlov",
+      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
+      "MODELS_PATH": "{ROOT_PATH}/models",
+      "COMPETITION": "russian_super_glue",
+      "BINARY_CLASSIFICATION": false,
+      "TASK": "lidirus",
+      "MODEL_PATH": "{MODELS_PATH}/{COMPETITION}/terra/{BASE_MODEL}"
+    },
+    "download": [
+      {
+        "url": "http://files.deeppavlov.ai/v1/russian_super_glue/russian_superglue_terra_rubert.tar.gz",
+        "subdir": "{MODEL_PATH}"
+      }
+    ]
+  }
+}
diff --git a/deeppavlov/configs/russian_super_glue/russian_superglue_muserc_rubert.json b/deeppavlov/configs/russian_super_glue/russian_superglue_muserc_rubert.json
@@ -0,0 +1,105 @@
+{
+  "dataset_reader": {
+    "class_name": "huggingface_dataset_reader",
+    "path": "{COMPETITION}",
+    "name": "{TASK}",
+    "train": "train",
+    "valid": "validation",
+    "test": "test"
+  },
+  "dataset_iterator": {
+    "class_name": "huggingface_dataset_iterator",
+    "features": ["context", "answer", "idx"],
+    "label": "label",
+    "seed": 42
+  },
+  "chainer": {
+    "in": ["context", "answer", "idx"],
+    "in_y": ["y"],
+    "pipe": [
+      {
+        "class_name": "torch_transformers_preprocessor",
+        "vocab_file": "{BASE_MODEL}",
+        "do_lower_case": false,
+        "max_seq_length": 512,
+        "in": ["context", "answer"],
+        "out": ["bert_features"]
+      },
+      {
+        "id": "classes_vocab",
+        "class_name": "simple_vocab",
+        "fit_on": ["y"],
+        "save_path": "{MODEL_PATH}/classes.dict",
+        "load_path": "{MODEL_PATH}/classes.dict",
+        "in": ["y"],
+        "out": ["y_ids"]
+      },
+      {
+        "in": ["y_ids"],
+        "out": ["y_onehot"],
+        "class_name": "one_hotter",
+        "depth": "#classes_vocab.len",
+        "single_vector": true
+      },
+      {
+        "class_name": "torch_transformers_classifier",
+        "n_classes": "#classes_vocab.len",
+        "return_probas": true,
+        "BINARY_CLASSIFICATION": false,
+        "pretrained_bert": "{BASE_MODEL}",
+        "save_path": "{MODEL_PATH}/model",
+        "load_path": "{MODEL_PATH}/model",
+        "optimizer": "AdamW",
+        "optimizer_parameters": {"lr": 2e-05},
+        "in": ["bert_features"],
+        "in_y": ["y_ids"],
+        "out": ["y_pred_probas"]
+      },
+      {
+        "in": ["y_pred_probas"],
+        "out": ["y_pred_ids"],
+        "class_name": "proba2labels",
+        "is_binary": "{BINARY_CLASSIFICATION}",
+        "max_proba": true
+      },
+      {
+        "in": ["y_pred_ids"],
+        "out": ["y_pred_labels"],
+        "ref": "classes_vocab"
+      }
+    ],
+    "out": ["y_pred_labels"]
+  },
+  "train": {
+    "batch_size": 8,
+    "metrics": ["roc_auc","f1"],
+    "epochs": 10,
+    "validation_patience": 10,
+    "val_every_n_epochs": 1,
+    "log_every_n_epochs": 1,
+    "show_examples": false,
+    "evaluation_targets": ["train", "valid"],
+    "class_name": "torch_trainer",
+    "tensorboard_log_dir": "{MODEL_PATH}/",
+    "pytest_max_batches": 2,
+    "pytest_batch_size": 2
+  },
+  "metadata": {
+    "variables": {
+      "BASE_MODEL": "DeepPavlov/rubert-base-cased",
+      "ROOT_PATH": "~/.deeppavlov",
+      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
+      "MODELS_PATH": "{ROOT_PATH}/models",
+      "COMPETITION": "russian_super_glue",
+      "BINARY_CLASSIFICATION": false,
+      "TASK": "muserc",
+      "MODEL_PATH": "{MODELS_PATH}/{COMPETITION}/{TASK}/{BASE_MODEL}"
+    },
+    "download": [
+      {
+        "url": "http://files.deeppavlov.ai/v1/russian_super_glue/russian_superglue_muserc_rubert.tar.gz",
+        "subdir": "{MODEL_PATH}"
+      }
+    ]
+  }
+}