diff --git a/AM_statistics/Relation_argument_outer_token_distance.md b/AM_statistics/Relation_argument_outer_token_distance.md
index 9fae1b04..9e4ba50e 100644
--- a/AM_statistics/Relation_argument_outer_token_distance.md
+++ b/AM_statistics/Relation_argument_outer_token_distance.md
@@ -9,53 +9,10 @@ The distance is measured from the first token of the first argumentative unit to
We collect the following statistics: number of documents in the split (*no. doc*), no. of argumentative units (*len*), mean of token distance (*mean*), standard deviation of the distance (*std*), minimum outer distance (*min*), and maximum outer distance (*max*).
We also present histograms in the collasible, showing the distribution of these relation distances (x-axis; and unit-counts in y-axis), accordingly.
-### Usage
-
-To manually collect a statistics for each dataset, execute the command as follows.
-
-
-Command lines
-
-AAE2
-
-```
-python src/evaluate_documents.py dataset=aae2_prepared metric=count_relation_argument_distances
-```
-
-AbsTRCT
-
-```
-python src/evaluate_documents.py dataset=abstrct_prepared metric=count_relation_argument_distances
-```
-
-ArgMicro
-
-```
-python src/evaluate_documents.py dataset=argmicro_prepared metric=count_relation_argument_distances
-```
-
-CDCP
-
-```
-python src/evaluate_documents.py dataset=cdcp_prepared metric=count_relation_argument_distances
-```
-
-SciArg
-
-```
-python src/evaluate_documents.py dataset=sciarg_prepared metric=count_relation_argument_distances ++metric.tokenize_kwargs.strict_span_conversion=false
-```
-
-SciDTB_Argmin
-
-```
-python src/evaluate_documents.py dataset=scidtb_argmin_prepared metric=count_relation_argument_distances
-```
-
-**Remark**:
-The script `evaluate_documents.py` is from [PyTorch-IE-Hydra-Template](https://github.com/ArneBinder/pytorch-ie-hydra-template-1).
-
-
+**Remark on statistics collection**:
+To manually collect a statistics for each dataset, execute the command provided under each dataset,
+using the base variant of the dataset configuration, namely, `*DATASET*_base`.
+The script `evaluate_documents.py` comes from [PyTorch-IE-Hydra-Template](https://github.com/ArneBinder/pytorch-ie-hydra-template-1).
## AAE2
@@ -81,6 +38,15 @@ The script `evaluate_documents.py` is from [PyTorch-IE-Hydra-Template](https://g
+
+Command
+
+```
+python src/evaluate_documents.py dataset=aae2_base metric=count_relation_argument_distances
+```
+
+
+
## AbsRCT
Relation argument (outer) token distances (split: neoplasm_train, 350 documents)
@@ -125,6 +91,15 @@ Relation argument (outer) token distances (split: neoplasm_train, 350 documents)
+
+Command
+
+```
+python src/evaluate_documents.py dataset=abstrct_base metric=count_relation_argument_distances
+```
+
+
+
## ArgMicro
| statistics | train |
@@ -143,6 +118,15 @@ Relation argument (outer) token distances (split: neoplasm_train, 350 documents)
+
+Command
+
+```
+python src/evaluate_documents.py dataset=argmicro_base metric=count_relation_argument_distances
+```
+
+
+
## CDCP
| statistics | train | test |
@@ -167,6 +151,15 @@ Relation argument (outer) token distances (split: neoplasm_train, 350 documents)
+
+Command
+
+```
+python src/evaluate_documents.py dataset=cdcp_base metric=count_relation_argument_distances
+```
+
+
+
## SciArg
| statistics | train |
@@ -185,6 +178,15 @@ Relation argument (outer) token distances (split: neoplasm_train, 350 documents)
+
+Command
+
+```
+python src/evaluate_documents.py dataset=sciarg_base metric=count_relation_argument_distances ++metric.tokenize_kwargs.strict_span_conversion=false
+```
+
+
+
## SciDTB_Argmin
| statistics | train |
@@ -202,3 +204,12 @@ Relation argument (outer) token distances (split: neoplasm_train, 350 documents)
+
+
+Command
+
+```
+python src/evaluate_documents.py dataset=scidtb_argmin_base metric=count_relation_argument_distances
+```
+
+