Publish AbstRCT argument-component span mirror

README.md

@@ -0,0 +1,82 @@
+---
+license: cc-by-nc-sa-4.0
+language:
+- en
+tags:
+- tasksource
+- extraction
+configs:
+- config_name: neoplasm
+  data_files:
+  - split: train
+    path: train.parquet
+  - split: validation
+    path: validation.parquet
+  - split: test
+    path: test.parquet
+- config_name: glaucoma
+  data_files:
+  - split: test
+    path: glaucoma/test.parquet
+- config_name: mixed
+  data_files:
+  - split: test
+    path: mixed/test.parquet
+---
+# AbstRCT argument-component spans
+
+Major claim, claim and premise argument-component spans in MEDLINE randomized-controlled-trial (RCT) abstracts
+(Mayer, Cabrio and Villata, ECAI 2020), expert-annotated with the brat tool (two annotators, adjudicated). Every
+context is the full abstract, not an isolated sentence: whether a sentence is a claim or a premise is judged
+against the rest of the abstract, which a per-sentence view would strip away.
+
+Data-only mirror of the [original brat distribution](https://gitlab.com/tomaye/abstrct) (revision
+`f856f1ca7514caa4094194b5623e84c159d9bf1d`, archive SHA256 `32150598d2e9`). Reproduce with
+[scripts/repackage_dataset/abstrct_spans.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/abstrct_spans.py);
+[provenance.json](provenance.json) records the archive hash, revision, native abstract counts and settings.
+License: CC BY-NC-SA 4.0 ([evidence](https://gitlab.com/tomaye/abstrct/-/blob/f856f1ca7514caa4094194b5623e84c159d9bf1d/LICENSE)).
+
+Schema: `context` (the abstract), `question`, `answers` (`text`, `answer_start`: every span, not alternatives) and
+JSON-string `metadata` (`field` is one of `major_claim`, `claim`, `premise`; `group` is `{config}:{PMID}`).
+Every field is always asked; an abstract with none of a kind answers with null. Used by the `extraction` config of
+[tasksource-jev-typed-decisions](https://huggingface.co/datasets/tasksource/tasksource-jev-typed-decisions)
+(`neoplasm` config, as `abstrct/neoplasm`).
+
+`neoplasm` has the native train/dev/test split used for training. `glaucoma` and `mixed` are test-only
+cross-domain transfer sets (no training abstracts) and are evaluation-only.
+
+## Citation
+
+Please cite the original dataset:
+
+```bibtex
+@inproceedings{mayer2020ecai,
+  author    = {Tobias Mayer and Elena Cabrio and Serena Villata},
+  title     = {Transformer-Based Argument Mining for Healthcare Applications},
+  booktitle = {{ECAI} 2020 - 24th European Conference on Artificial Intelligence},
+  series    = {Frontiers in Artificial Intelligence and Applications},
+  volume    = {325},
+  pages     = {2108--2115},
+  publisher = {{IOS} Press},
+  year      = {2020},
+}
+```
+
+## Citing tasksource
+
+If you use tasksource, its standardized task annotations, or datasets derived from them in published research, please cite the tasksource paper (Sileo, LREC-COLING 2024).
+
+```bibtex
+@inproceedings{sileo-2024-tasksource,
+    title = "tasksource: A Large Collection of {NLP} tasks with a Structured Dataset Preprocessing Framework",
+    author = "Sileo, Damien",
+    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
+    month = may,
+    year = "2024",
+    address = "Torino, Italia",
+    publisher = "ELRA and ICCL",
+    url = "https://aclanthology.org/2024.lrec-main.1361",
+    doi = "10.63317/2h4pkr685mkq",
+    pages = "15655--15684",
+}
+```

glaucoma/test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:efa8541a6065f0ad4ea894e4335a63373883ac3f0d29fc1e316d060a2457a111
+size 185140

mixed/test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1edfb98e995ec00d82bcd54357120b4f692ca6391554eca7427a5b427669d803
+size 200104

provenance.json

@@ -0,0 +1,52 @@
+{
+  "mirror": "tasksource/abstrct-spans",
+  "revision": "f856f1ca7514caa4094194b5623e84c159d9bf1d",
+  "archive": {
+    "url": "https://gitlab.com/tomaye/abstrct/-/archive/f856f1ca7514caa4094194b5623e84c159d9bf1d/abstrct-f856f1ca7514caa4094194b5623e84c159d9bf1d.zip",
+    "sha256": "32150598d2e9d3d8d5df82f4c059aee140cf769fde8b4842c6df83e7a76f5d4b"
+  },
+  "license": "cc-by-nc-sa-4.0",
+  "license_evidence": "https://gitlab.com/tomaye/abstrct/-/blob/f856f1ca7514caa4094194b5623e84c159d9bf1d/LICENSE",
+  "native_abstracts": {
+    "neoplasm/train": 350,
+    "neoplasm/validation": 50,
+    "neoplasm/test": 100,
+    "glaucoma/test": 100,
+    "mixed/test": 100
+  },
+  "rows": {
+    "neoplasm/train": 1050,
+    "neoplasm/validation": 150,
+    "neoplasm/test": 300,
+    "glaucoma/test": 300,
+    "mixed/test": 300
+  },
+  "dropped": {
+    "neoplasm/train": {
+      "abstracts": 350
+    },
+    "neoplasm/validation": {
+      "abstracts": 50
+    },
+    "neoplasm/test": {
+      "abstracts": 100
+    },
+    "glaucoma/test": {
+      "abstracts": 100
+    },
+    "mixed/test": {
+      "abstracts": 100
+    }
+  },
+  "settings": {
+    "context": "the full abstract (not per-sentence): claim/premise status is judged against the rest of the abstract, not standalone",
+    "fields": [
+      "major_claim",
+      "claim",
+      "premise"
+    ],
+    "discontinuous_spans": "none in this corpus; conversion raises if one appears",
+    "configs": "neoplasm: native train/dev/test; glaucoma, mixed: test-only cross-domain sets",
+    "uploads": false
+  }
+}

test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd5ac5dddd8bcee920ade6b4684eca7f771bc02eb7d4ba15cfcbc34a7b1a3889
+size 214911

train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a662dcaccb64f7881334125d99409d991fe417b0fffafd8f131b461cbda49ba9
+size 706906

validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8eb5aace1cbb0140a203daace25e039b59f02b0d296e2628532f8789f51c931e
+size 116168