Add converted parquet files and update conversion script

README.md

@@ -1,5 +1,5 @@
 ---
-license: cc-by-4.0
+# license: cc-by-4.0  # TODO: verify — https://github.com/cltl/EventStoryLine
 task_categories:
 - text-classification
 language:
@@ -81,7 +81,7 @@ train-eval-index:
 ---
 
 > [!NOTE]  
-> This repository integrates the EventStoryLine (ESL) corpus into hf datasets. It is in conformance with ESL's CC BY 4.0 license. Please find the original dataset
+> This repository integrates the EventStoryLine (ESL) corpus into hf datasets. Please find the original dataset
 > [here](https://github.com/cltl/EventStoryLine). We used the [UniCausal](https://github.com/tanfiona/UniCausal/tree/main/data/splits) reformatting of the data (referred to as `esl2`) as the basis
 > for this repository. Please see the [citations](#citations) at the end of this README.
 

causality-detection/test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:117fd061e4ef4a0174017b65000e98eee69fae6f8e0b58038f110b0e3fece16a
+size 16748

causality-detection/train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26a27c0abf37888b7d44520c1c65869ecfe8b1568401f6b096e807a812d3fa80
+size 118620

causality-identification/test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bee2b04eb8f7ece8f7e249e607503a09fb43cb4d52b693afb4b49778c588851
+size 20365

causality-identification/train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17160bf3e93fa17aeda82d52c09cb44297f74993ae87a88a36b2a00e4f0d4ce4
+size 145923

conversion_script.py

@@ -8,17 +8,17 @@ Note: UniCausal refers to this dataset as 'esl2' in its processed splits.
 
 # 1) Install dependencies:
 #    pip install git+https://github.com/TheMrSheldon/causality-toolkit.git
-# 2) Download these files:
-#  - https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_test.csv
+# 2) Source files (fetched automatically via pandas):
 #  - https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_train.csv
+#  - https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_test.csv
 
 from pathlib import Path
 
 from ctk.data.constants import Task
 from ctk.data.conversion import UniCausal2HF
 
-converter = UniCausal2HF({"train": Path.cwd() / "esl2_train.csv",
-                         "test": Path.cwd() / "esl2_test.csv"}, Path.cwd())
+converter = UniCausal2HF({"train": "https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_train.csv",
+                         "test": "https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_test.csv"}, Path.cwd(), grouped=False)
 
 converter.convert(Task.CausalityDetection, "train")
 converter.convert(Task.CausalityDetection, "test")