updated readmes and torch version

README_BenchCLAMP.md

@@ -7,7 +7,7 @@ parsing datasets, with splits of different data sizes, as well as grammars which
 used to constrain decoding of semantic parses.
 
 ### BenchClamp Datasets
-The current benchmark supports 4 datasets: 
+The current benchmark supports 6 datasets:
 1. CalFlowV2
 2. TreeDST (in LispressV2 format)
 3. MTOP (all languages)
@@ -22,7 +22,7 @@ split (`all`).
 
 ### Fine-tune a Language Model
 1. You can edit `benchclamp_config.py` to add your LM to the `TRAIN_MODEL_CONFIGS` 
-list. In the committed file, we have only a T5-base model
+list. We have already added some popular LMs to the list.
     ```
     TRAIN_MODEL_CONFIGS: List[ClampModelConfig] = [
         T5ModelConfig(

README_EMNLP_2021.md

@@ -46,9 +46,11 @@ export TRAINED_MODEL_DIR=trained_models/
 
 for domain in "basketball" "blocks" "calendar" "housing" "publications" "recipes" "restaurants" "socialnetwork"; do
     python -m semantic_parsing_with_constrained_lm.finetune.lm_finetune \
+          --config-name semantic_parsing_with_constrained_lm.finetune.configs.emnlp_train_config \
           --exp-names overnight_${domain}_utterance
 
     python -m semantic_parsing_with_constrained_lm.finetune.lm_finetune \
+          --config-name semantic_parsing_with_constrained_lm.finetune.configs.emnlp_train_config \
           --exp-names overnight_${domain}_meaningRepresentation
 done 
 ```
@@ -150,9 +152,11 @@ export PRETRAINED_MODEL_DIR=facebook/bart-large
 export TRAINED_MODEL_DIR=trained_models/
 
 python -m semantic_parsing_with_constrained_lm.finetune.lm_finetune \
+      --config-name semantic_parsing_with_constrained_lm.finetune.configs.emnlp_train_config \
       --exp-names break_nested
 
 python -m semantic_parsing_with_constrained_lm.finetune.lm_finetune \
+      --config-name semantic_parsing_with_constrained_lm.finetune.configs.emnlp_train_config \
       --exp-names break_QDMR
 ```
 
@@ -238,9 +242,11 @@ export PRETRAINED_MODEL_DIR=facebook/bart-large
 export TRAINED_MODEL_DIR=trained_models/
 
 python -m semantic_parsing_with_constrained_lm.finetune.lm_finetune \
+      --config-name semantic_parsing_with_constrained_lm.finetune.configs.emnlp_train_config \
       --exp-names calflow_canonicalUtterance
 
 python -m semantic_parsing_with_constrained_lm.finetune.lm_finetune \
+      --config-name semantic_parsing_with_constrained_lm.finetune.configs.emnlp_train_config \
       --exp-names calflow_lispress
 ```
 

pyproject.toml

@@ -11,7 +11,7 @@ url = "https://smpypi.z5.web.core.windows.net/"
 [tool.poetry.dependencies]
 python = "^3.7"
 matplotlib = "^3.1.0"
-torch = "1.6.0"
+torch = "1.10.2"
 pydantic = "^1.4"
 lark-parser = "^0.8.2"
 requests = "^2.20.1"