Remove Medical Subdomain of Clinical Notes

data/medical_subdomain_of_clinical_notes/task.json

@@ -1 +0,0 @@
-{"name": "medical_subdomain_of_clinical_notes", "description": "", "data_columns": ["Note", "ID"], "label_columns": {"Label": ["cardiology", "gastroenterology", "nephrology", "neurology", "psychiatry", "pulmonary disease"]}}

raft.py

@@ -21,7 +21,6 @@ from pathlib import Path
 import datasets
 
 # TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
 @InProceedings{huggingface:dataset,
 title = {A great new dataset},
@@ -31,44 +30,32 @@ year={2020}
 }
 """
 
-# You can copy an official description
-_DESCRIPTION = """
+_DESCRIPTION = """Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants? 
+
+[RAFT](https://raft.elicit.org) is a few-shot classification benchmark that tests language models:
+
+- across multiple domains (lit review, tweets, customer interaction, etc.)
+- on economically valuable classification tasks (someone inherently cares about the task)
+- in a setting that mirrors deployment (50 examples per task, info retrieval allowed, hidden test set)
 """
 
-# TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = ""
+_HOMEPAGE = "https://raft.elicit.org"
 
 # TODO: Add the licence for the dataset here if you can find it
 _LICENSE = ""
 
-# TODO: Add link to the official dataset URLs here
-# The HuggingFace dataset library don't host the datasets but only point to the original files
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-# This gets all folders within the directory named `data`
-DATA_DIR_URL = "data/"  # "https://huggingface.co/datasets/ought/raft/resolve/main/data/"
-# print([p for p in DATA_DIR_PATH.iterdir() if p.is_dir()])
+DATA_DIR_URL = "data/"
 TASKS = {
     "ade_corpus_v2": {
         "name": "ade_corpus_v2",
         "description": "",
-        "data_columns": [
-            "Sentence",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "ADE-related",
-                "not ADE-related"
-            ]
-        }
+        "data_columns": ["Sentence", "ID"],
+        "label_columns": {"Label": ["ADE-related", "not ADE-related"]},
     },
     "banking_77": {
         "name": "banking_77",
         "description": "",
-        "data_columns": [
-            "Query",
-            "ID"
-        ],
+        "data_columns": ["Query", "ID"],
         "label_columns": {
             "Label": [
                 "Refund_not_showing_up",
@@ -147,23 +134,15 @@ TASKS = {
                 "visa_or_mastercard",
                 "why_verify_identity",
                 "wrong_amount_of_cash_received",
-                "wrong_exchange_rate_for_cash_withdrawal"
+                "wrong_exchange_rate_for_cash_withdrawal",
             ]
-        }
+        },
     },
     "terms_of_service": {
         "name": "terms_of_service",
         "description": "",
-        "data_columns": [
-            "Sentence",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "not potentially unfair",
-                "potentially unfair"
-            ]
-        }
+        "data_columns": ["Sentence", "ID"],
+        "label_columns": {"Label": ["not potentially unfair", "potentially unfair"]},
     },
     "tai_safety_research": {
         "name": "tai_safety_research",
@@ -176,138 +155,51 @@ TASKS = {
             "Item Type",
             "Author",
             "Publication Title",
-            "ID"
+            "ID",
         ],
-        "label_columns": {
-            "Label": [
-                "TAI safety research",
-                "not TAI safety research"
-            ]
-        }
+        "label_columns": {"Label": ["TAI safety research", "not TAI safety research"]},
     },
     "neurips_impact_statement_risks": {
         "name": "neurips_impact_statement_risks",
         "description": "",
-        "data_columns": [
-            "Paper title",
-            "Paper link",
-            "Impact statement",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "doesn't mention a harmful application",
-                "mentions a harmful application"
-            ]
-        }
-    },
-    "medical_subdomain_of_clinical_notes": {
-        "name": "medical_subdomain_of_clinical_notes",
-        "description": "",
-        "data_columns": [
-            "Note",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "cardiology",
-                "gastroenterology",
-                "nephrology",
-                "neurology",
-                "psychiatry",
-                "pulmonary disease"
-            ]
-        }
+        "data_columns": ["Paper title", "Paper link", "Impact statement", "ID"],
+        "label_columns": {"Label": ["doesn't mention a harmful application", "mentions a harmful application"]},
     },
     "overruling": {
         "name": "overruling",
         "description": "",
-        "data_columns": [
-            "Sentence",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "not overruling",
-                "overruling"
-            ]
-        }
+        "data_columns": ["Sentence", "ID"],
+        "label_columns": {"Label": ["not overruling", "overruling"]},
     },
     "systematic_review_inclusion": {
         "name": "systematic_review_inclusion",
         "description": "",
-        "data_columns": [
-            "Title",
-            "Abstract",
-            "Authors",
-            "Journal",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "included",
-                "not included"
-            ]
-        }
+        "data_columns": ["Title", "Abstract", "Authors", "Journal", "ID"],
+        "label_columns": {"Label": ["included", "not included"]},
     },
     "one_stop_english": {
         "name": "one_stop_english",
         "description": "",
-        "data_columns": [
-            "Article",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "advanced",
-                "elementary",
-                "intermediate"
-            ]
-        }
+        "data_columns": ["Article", "ID"],
+        "label_columns": {"Label": ["advanced", "elementary", "intermediate"]},
     },
     "tweet_eval_hate": {
         "name": "tweet_eval_hate",
         "description": "",
-        "data_columns": [
-            "Tweet",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "hate speech",
-                "not hate speech"
-            ]
-        }
+        "data_columns": ["Tweet", "ID"],
+        "label_columns": {"Label": ["hate speech", "not hate speech"]},
     },
     "twitter_complaints": {
         "name": "twitter_complaints",
         "description": "",
-        "data_columns": [
-            "Tweet text",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "complaint",
-                "no complaint"
-            ]
-        }
+        "data_columns": ["Tweet text", "ID"],
+        "label_columns": {"Label": ["complaint", "no complaint"]},
     },
     "semiconductor_org_types": {
         "name": "semiconductor_org_types",
         "description": "",
-        "data_columns": [
-            "Paper title",
-            "Organization name",
-            "ID"
-        ],
-        "label_columns": {
-            "Label": [
-                "company",
-                "research institute",
-                "university"
-            ]
-        }
+        "data_columns": ["Paper title", "Organization name", "ID"],
+        "label_columns": {"Label": ["company", "research institute", "university"]},
     },
 }