license: cc-by-sa-4.0
language:
- en
pretty_name: PART shared task (ArgMining 2027)
task_categories:
- text-classification
tags:
- argumentation
- reasoning
- argument-mining
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train.jsonl
- config_name: sample_test
data_files:
- split: test
path: data/sample_test.jsonl
PART: Parameterized Argumentative Reasoning Task — ArgMining 2027 Shared Task
Data for the PART shared task at ArgMining 2027. Task description, submission instructions and timeline: https://argpart.github.io/. Questions and submissions: argpart2027@gmail.com.
Each item is a short puzzle: a list of witnesses, each making one statement. Some statements are about the world ("the order was duplicated"), others say that another witness is not credible ("Elijah is a lying"). The rule is:
Witnesses should always be believed unless there is believable testimony that they are [attack word].
Two tasks are asked on the same puzzles:
- binary: can a given statement be believed? (
"yes"/"no") - multi-label: which witnesses can be believed? (a list of names)
Files and loading
| config | split | file | contents |
|---|---|---|---|
default |
train |
data/train.jsonl |
3000 puzzles with answers |
sample_test |
test |
data/sample_test.jsonl |
20 puzzles without answers, to try the submission format; not scored |
test |
test |
data/test.jsonl |
the real test puzzles, answers withheld (added at the test release) |
from datasets import load_dataset
train = load_dataset("michiel/argpart", split="train")
sample_test = load_dataset("michiel/argpart", "sample_test", split="test")
test = load_dataset("michiel/argpart", "test", split="test") # once released
The sample test set has the same format as the real one (ids like sample_test-0001 instead of test-0001), so you can run your full pipeline on it and check your submission file before the test release.
Fields
| field | splits | description |
|---|---|---|
id |
all | item id, e.g. train-0001, sample_test-0001, test-0001 |
binary_prompt |
all | the puzzle with the binary question |
multi_label_prompt |
all | the same puzzle with the multi-label question (statements may be in a different order) |
binary |
train | answer to the binary question: "yes" or "no" |
multi_label |
train | names of the witnesses that can be believed |
Submitting
Email your submission to argpart2027@gmail.com with this exact subject line, so it is not missed:
[PART2027 SUBMISSION] <team name> - run <n>
e.g. [PART2027 SUBMISSION] Team Owl - run 1. Attach one JSONL file per run,
named <team>_<run>.jsonl (e.g. owl_1.jsonl), with one line per test item:
{"id": "test-0001", "binary": "yes", "multi_label": ["Anna", "Inez"]}
For questions, use the subject [PART2027 QUESTION] <short topic>. See
https://argpart.github.io/ for the deadline and the number of runs allowed.
Contact
- website (task description, instructions, timeline): https://argpart.github.io/
- questions about the data or the task, and submissions: argpart2027@gmail.com
License
CC BY-SA 4.0: you may share and adapt the data for any purpose, including commercially, as long as you give credit and distribute derived datasets under the same license.