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Datasets:
44cal
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chainprompt_annot

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rlfh
argilla
human-feedback
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  1. .argilla/dataset.json +1 -0
  2. .argilla/settings.json +1 -0
  3. README.md +1761 -40
.argilla/dataset.json ADDED
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+ {"id": "027f2413-0299-4775-9c69-17d04298c7b0", "inserted_at": "2025-04-05T02:52:58.348027", "updated_at": "2025-04-05T02:52:58.782930", "name": "chainprompt_annot", "status": "ready", "guidelines": null, "allow_extra_metadata": true, "distribution": {"strategy": "overlap", "min_submitted": 1}, "workspace_id": "86e00017-b3b3-4d1d-857e-9ac4a7b3cc56", "last_activity_at": "2025-04-05T02:52:58.782930"}
.argilla/settings.json ADDED
@@ -0,0 +1 @@
 
 
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+ {"guidelines": null, "questions": [{"id": "5aadba57-f3b9-4225-8ac0-fd03aafdb0fc", "inserted_at": "2025-04-05T02:52:58.662848", "updated_at": "2025-04-05T02:52:58.662848", "name": "span_0", "settings": {"type": "span", "allow_overlapping": true, "field": "text", "options": [{"value": "Medical Condition", "text": "Medical Condition", "description": null}, {"value": "Prescription Drugs", "text": " Prescription Drugs", "description": null}, {"value": "Demographics", "text": " Demographics", "description": null}, {"value": "Medical ID", "text": " Medical ID", "description": null}, {"value": "ICD Code", "text": " ICD Code", "description": null}, {"value": "Healthcare Identifier", "text": " Healthcare Identifier", "description": null}, {"value": "Insurance Number", "text": " Insurance Number", "description": null}, {"value": "General PII", "text": " General PII", "description": null}], "visible_options": 8}, "title": "span_0", "description": null, "required": true, "dataset_id": "027f2413-0299-4775-9c69-17d04298c7b0", "type": "span"}, {"id": "0be7dba9-66b0-4700-af9a-138288131895", "inserted_at": "2025-04-05T02:52:58.715962", "updated_at": "2025-04-05T02:52:58.715962", "name": "rating_1", "settings": {"type": "rating", "options": [{"value": 0}, {"value": 1}, {"value": 2}, {"value": 3}, {"value": 4}]}, "title": "rating_1", "description": null, "required": true, "dataset_id": "027f2413-0299-4775-9c69-17d04298c7b0", "type": "rating"}], "fields": [{"id": "90e0036b-a1d3-4bfe-93c7-dbb4ac99bd71", "inserted_at": "2025-04-05T02:52:58.426079", "updated_at": "2025-04-05T02:52:58.426079", "name": "status", "settings": {"type": "text", "use_markdown": false}, "title": "status", "required": false, "description": null, "dataset_id": "027f2413-0299-4775-9c69-17d04298c7b0", "type": "text"}, {"id": "0863df90-c499-456c-8712-72981cc103ef", "inserted_at": "2025-04-05T02:52:58.526773", "updated_at": "2025-04-05T02:52:58.526773", "name": "_server_id", "settings": {"type": "text", "use_markdown": false}, "title": "_server_id", "required": false, "description": null, "dataset_id": "027f2413-0299-4775-9c69-17d04298c7b0", "type": "text"}, {"id": "8c2e8b95-6193-41d7-8e59-5805a32cf7ff", "inserted_at": "2025-04-05T02:52:58.607612", "updated_at": "2025-04-05T02:52:58.607612", "name": "text", "settings": {"type": "text", "use_markdown": false}, "title": "text", "required": false, "description": null, "dataset_id": "027f2413-0299-4775-9c69-17d04298c7b0", "type": "text"}], "vectors": [], "metadata": [], "allow_extra_metadata": true, "distribution": {"strategy": "overlap", "min_submitted": 1}, "mapping": null}
README.md CHANGED
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  ---
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- dataset_info:
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- features:
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- - name: id
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- dtype: string
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- - name: status
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- dtype: string
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- - name: _server_id
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- dtype: string
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- - name: text
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- dtype: string
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- - name: span_0.responses
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- list:
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- list:
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- - name: end
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- dtype: int64
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- - name: label
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- dtype: string
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- - name: start
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- dtype: int64
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- - name: span_0.responses.users
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- sequence: string
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- - name: span_0.responses.status
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- sequence: string
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- - name: rating_1.responses
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- sequence: int64
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- - name: rating_1.responses.users
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- sequence: string
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- - name: rating_1.responses.status
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- sequence: string
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- splits:
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- - name: train
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- num_bytes: 415008
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- num_examples: 20
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- download_size: 174682
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- dataset_size: 415008
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ size_categories: n<1K
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+ tags:
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+ - rlfh
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+ - argilla
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+ - human-feedback
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Dataset Card for chainprompt_annot
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+
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+
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+
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+
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+
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+
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+
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+ This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
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+
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+
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+ ## Using this dataset with Argilla
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+
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+ To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
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+
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+ ```python
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+ import argilla as rg
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+
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+ ds = rg.Dataset.from_hub("44cal/chainprompt_annot", settings="auto")
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+ ```
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+
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+ This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
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+
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+ ## Using this dataset with `datasets`
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+
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+ To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("44cal/chainprompt_annot")
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+ ```
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+
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+ This will only load the records of the dataset, but not the Argilla settings.
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+
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+ ## Dataset Structure
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+
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+ This dataset repo contains:
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+
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+ * Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`.
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+ * The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
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+ * A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
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+
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+ The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
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+
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+ ### Fields
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+
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+ The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
57
+
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+ | Field Name | Title | Type | Required | Markdown |
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+ | ---------- | ----- | ---- | -------- | -------- |
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+ | status | status | text | False | False |
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+ | _server_id | _server_id | text | False | False |
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+ | text | text | text | False | False |
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+
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+
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+ ### Questions
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+
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+ The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
68
+
69
+ | Question Name | Title | Type | Required | Description | Values/Labels |
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+ | ------------- | ----- | ---- | -------- | ----------- | ------------- |
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+ | span_0 | span_0 | span | True | N/A | N/A |
72
+ | rating_1 | rating_1 | rating | True | N/A | [0, 1, 2, 3, 4] |
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+
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+
75
+ <!-- check length of metadata properties -->
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+
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+
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+
79
+
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+
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+ ### Data Instances
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+
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+ An example of a dataset instance in Argilla looks as follows:
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+
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+ ```json
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+ {
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+ "_server_id": "32aae269-bff7-4654-8c8d-d8ffa0bb5a4a",
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+ "fields": {
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+ "text": "Medical Text: Admission Date: [**2117-9-11**] Discharge Date: [**2117-9-17**]\n\nDate of Birth: [**2082-3-21**] Sex: F\n\nService: MEDICINE\n\nAllergies:\nLevaquin\n\nAttending:[**First Name3 (LF) 2195**]\nChief Complaint:\nnausea, vomiting\n\n\nMajor Surgical or Invasive Procedure:\nnone\n\nHistory of Present Illness:\n35F w/ poorly controlled Type 1 diabetes mellitus w/ neuropathy,\nnephropathy, HTN, gastroparesis, CKD and retinopathy, recently\nhospitalized for orthostatic hypotension [**2-3**] autonomic\nneuropathy [**Date range (1) 25088**]; DKA hospitalizations in [**6-12**] and [**7-12**], now\nreturning w/ 5d history of worsening nausea, vomiting with\ncoffee-ground emesis, chills, and dyspnea on exertion. Last\nweek she had a fall and hit her right face. she also had 1 day\nof diarrhea, which resolved early last week. Found to be in DKA\nwith AG 30 and bicarb 11.\n.\nIn the ED inital vitals were 09:00 0 98.2 113 181/99 22 100% RA.\nK 4.7, HCO3 11, Anion Gap 30, Cr. 2.7 (baseline 1.6-2.0) She is\non her 3rd L NS. Insulin srip at 5 units/hr. On home at 22\nlevemir in am and 12 at with difficult to control sugars. BPs\nhave been high. Given 30 mtroprolol tartrate in ED.\n\nShe was started on an insulin drip at 5 units/hr and 3L NS\nboluses. Also aspirin 325mg PO and Morphine 4mg IVx1 for pain.\nCXr was clear. EKG NAD.\n.\nReview of systems: otherwise negative.\n\nPast Medical History:\nType 1 diabetes mellitis w/ neuropathy, nephropathy, and\nretinopathy - 2 episodes of DKA in [**6-12**] and [**7-12**]\nHTN - 5 years\ngastroparesis - 1.5 years\nCKD - stage III, baseline Cr 2.4-2.5, proteinuria\nL1 vertebral fracture - [**2117-7-17**]\nSystolic ejection murmur\n\nSocial History:\nPatient lives at home in [**Location (un) **] with her 8 y/o daughter and\nboyfriend. She has no history of EtOH, tobacco, or illicit drug\nuse. She is currently unemployed and seeking disability.\n\n\nFamily History:\nBoth parents have HTN and T2DM. Grandfather had an MI in his\n40s.\n\nPhysical Exam:\nGEN: Awake, alert, and oriented\nHEENT: PERRLA. MMM. no JVD. neck supple. No cervical LAD\nCards: RRR, S1/S2 normal. II/VI systolic ejection murmur heard\nbest at the L upper sternal border.\nPulm: CTABL with no crackles or wheezes.\nAbd: BS+, soft, NT, no rebound/guarding, no HSM, no [**Doctor Last Name 515**]\nsign\nExtremities: wwp, no edema. radials, DPs, PTs 2+.\nSkin: no rashes or bruising. no skin tenting.\nNeuro: CNs II-XII intact. Upper extremities: Power [**5-6**]\nbilaterally. Le: left power: 4.5/5 right: power [**3-6**]. Bilateral\nsymmetric, reduced sensation distal LE to ankles.\n\n\nPertinent Results:\nAdmission Labs: [**2117-9-11**] 09:22AM\nWBC-11.9* RBC-4.58 HGB-13.0 HCT-36.5 MCV-80* PLT COUNT-466*\nLIPASE-22 ALT(SGPT)-10 AST(SGOT)-16 ALK PHOS-105 TOT BILI-0.5\nGLUCOSE-260* UREA N-48* CREAT-2.7* SODIUM-137 POTASSIUM-4.9\nCL-101 CO2-11*\nLACTATE-1.9\n\nDischarge Labs: [**2117-9-16**] 07:10AM\nWBC-6.8 RBC-3.67* Hgb-10.4* Hct-30.2* MCV-82 Plt Ct-298\nGlucose-118* UreaN-20 Creat-2.3* Na-137 K-3.7 Cl-104 HCO3-23\nAnGap-14\nCalcium-8.7 Phos-3.5 Mg-2.0\n\nRadiology:\nCXR: No evidence of pneumonia or other pathological\nabnormalities. No\npleural effusions. No pulmonary edema. Normal size of the\ncardiac\nsilhouette.\n\nMicrobiology: Urine culture negative, blood cultures no growth\nto date, stool for C.difficile negative\n\n\nBrief Hospital Course:\n35 yo F with HTN \u0026 poorly controlled type I DM, c/b neuropathy,\ngastroparesis, nephropathy ?????? CKD, retinopathy presents with DKA\nand hypertension SBP to 200s.\n.\n# Diabetic ketoacidosis: Patient controls diabetes at home with\nHumalog SS and long acting Levemir. Sugars at home recently\nhave been in 250s. In the ED, glucose was 466. UA was +ve for\nketones ?????? corrected to 200s, but rose again to 300s. She was\ntreated with an insulin drip which was transitioned to subq when\nshe tolerated POs. Her electrolytes were repleted and she\nreceived aggressive volume resuscitation. [**Last Name (un) **] saw her and\ngave sliding scale recommendations which were implemented. No\nsource for DKA found, beleived to be [**2-3**] gastroparesis. Nausea\nmanaged with ativan, compazine, and promethazine. She was\ndischarged on her home Insulin and sliding scale with\ninstructions to follow-up with [**Last Name (un) **].\n\n# HTN: Hypertensive with SBP in 190s initially, attributed to\nDKA, as she has experienced in the past. As she improved her\nblood pressures normalized and she was re-started on her home\nLopressor and Midodrine regimen.\n\n# Coffee grounds emesis: Emesis started off as clear, then with\nprolonged wretching, she started having coffee-grounds vomiting.\nThis had also occurred on prior admissions for DKA with\nassociated vomiting. Her hematocrit remained stable and her\nhematemesis self-resolved, and so work-up was deferred to the\noutpatient setting.\n\n# Acute on chronic kidney disease, Stage III: Patient\u0027s Cr on\nadmission was 2.7, trending down to 2.1-2.3 following fluids,\nconsistent with her known CKD secondary to diabetic nephropathy.\n\n\nMedications on Admission:\n1. citalopram 20 mg Tablet Sig: One (1) Tablet PO DAILY (Daily).\n\n2. Levemir 100 unit/mL Solution Sig: Twenty Two (22) units\nSubcutaneous every AM.\n3. Levemir 100 unit/mL Solution Sig: Twelve (12) units\nSubcutaneous at bedtime.\n4. Humalog 100 unit/mL Solution Sig: sliding scale as directed\nSubcutaneous four times a day: Please use sliding scale as\ndirected by MD [**First Name8 (NamePattern2) 767**] [**Last Name (Titles) **].\n5. metoprolol tartrate 50 mg Tablet Sig: 1.5 Tablets PO DAILY\n(Daily): take in the evening.\n6. promethazine 25 mg Tablet Sig: 0.5 Tablet PO Q8H (every 8\nhours) as needed for nausea.\n7. gabapentin 300 mg Capsule Sig: One (1) Capsule PO Q12H (every\n\n12 hours).\nDisp:*60 Capsule(s)* Refills:*2*\n8. duloxetine 30 mg Capsule, Delayed Release(E.C.) Sig: Two (2)\nCapsule, Delayed Release(E.C.) PO DAILY (Daily): Please take\nonly 1 capsule daily (30 mg) for first 2 weeks of treatment.\nDisp:*60 Capsule, Delayed Release(E.C.)(s)* Refills:*2*\n9. oxycodone 5 mg Capsule Sig: One (1) Capsule PO every eight\n(8) hours as needed for pain.\n10. midodrine 5 mg Tablet Sig: 1.5 Tablets PO every four (4)\nhours: Can hold while sleeping.\nDisp:*270 Tablet(s)* Refills:*2*\n\n\nDischarge Medications:\n1. citalopram 20 mg Tablet Sig: One (1) Tablet PO DAILY (Daily).\n\n2. gabapentin 300 mg Capsule Sig: One (1) Capsule PO Q12H (every\n12 hours).\n3. duloxetine 30 mg Capsule, Delayed Release(E.C.) Sig: One (1)\nCapsule, Delayed Release(E.C.) PO DAILY (Daily).\n4. metoprolol tartrate 25 mg Tablet Sig: Three (3) Tablet PO\nOnce Daily at 6 PM.\n5. midodrine 2.5 mg Tablet Sig: Three (3) Tablet PO DAILY\n(Daily).\n6. Levemir 100 unit/mL Solution Sig: As directed by [**Last Name (un) **] units\nSubcutaneous As directed.\n\n\nDischarge Disposition:\nHome\n\nDischarge Diagnosis:\nDiabetic keotacidosis\nHematemesis (blood in your vomit)\nHypertension\nChronic renal insufficiency\n\nDischarge Condition:\nMental Status: Clear and coherent.\nLevel of Consciousness: Alert and interactive.\nActivity Status: Ambulatory - Independent.\n\nDischarge Instructions:\nYou were admitted to the hospital with DKA, hypertension, and\nblood in your vomit. You were initially treated in the ICU with\nan insulin drip, and your blood sugars improved. Your blood\npressure medications were adjusted to better control your blood\npressure while you were in DKA, but you were re-started on your\nhome regimen at discharge. The blood in your vomit was likely\nsecondary to mechanical trauma from repeated wretching, but you\nshould follow-up with your primary care doctor to discuss\nwhether you should undergo further evaluation such as an upper\nendoscopy. Given your complaints of chronic cough and heartburn,\nyou should also discuss beginning a trial of a proton pump\ninhibitor such as Nexium or Prilosec to see if this helps your\nsymptoms.\n\nYour insulin regimen was adjusted by the [**Last Name (un) **] team while you\nwere here. You should continue to follow-up with them with any\nquestions or concerns regarding your insulin management.\n\nFollowup Instructions:\nPlease call Dr.[**Last Name (STitle) 805**]\u0027 office to schedule a follow-up\nappointment within 7-10 days of discharge. Her office number is\n[**Telephone/Fax (1) 85219**].\n\nYou should also continue to follow-up with your [**Last Name (un) **] doctors\nas needed.\n\n\n\nICD9 Codes: 5849"
90
+ },
91
+ "id": "train_0",
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+ "metadata": {},
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+ "responses": {
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+ "rating_1": [
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+ {
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+ "user_id": "704c7891-4bf8-46d0-872e-45bf3943e47d",
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+ "value": 4
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+ }
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+ ],
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+ "span_0": [
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+ "value": [
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+ "status": "completed",
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+ "suggestions": {},
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+ "vectors": {}
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+ }
887
+ ```
888
+
889
+ While the same record in HuggingFace `datasets` looks as follows:
890
+
891
+ ```json
892
+ {
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+ "_server_id": "32aae269-bff7-4654-8c8d-d8ffa0bb5a4a",
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+ "id": "train_0",
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+ "submitted"
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+ ],
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+ "label": "General PII",
1674
+ "start": 7858
1675
+ },
1676
+ {
1677
+ "end": 8273,
1678
+ "label": "General PII",
1679
+ "start": 8259
1680
+ }
1681
+ ]
1682
+ ],
1683
+ "span_0.responses.status": [
1684
+ "submitted"
1685
+ ],
1686
+ "span_0.responses.users": [
1687
+ "704c7891-4bf8-46d0-872e-45bf3943e47d"
1688
+ ],
1689
+ "status": "completed",
1690
+ "text": "Medical Text: Admission Date: [**2117-9-11**] Discharge Date: [**2117-9-17**]\n\nDate of Birth: [**2082-3-21**] Sex: F\n\nService: MEDICINE\n\nAllergies:\nLevaquin\n\nAttending:[**First Name3 (LF) 2195**]\nChief Complaint:\nnausea, vomiting\n\n\nMajor Surgical or Invasive Procedure:\nnone\n\nHistory of Present Illness:\n35F w/ poorly controlled Type 1 diabetes mellitus w/ neuropathy,\nnephropathy, HTN, gastroparesis, CKD and retinopathy, recently\nhospitalized for orthostatic hypotension [**2-3**] autonomic\nneuropathy [**Date range (1) 25088**]; DKA hospitalizations in [**6-12**] and [**7-12**], now\nreturning w/ 5d history of worsening nausea, vomiting with\ncoffee-ground emesis, chills, and dyspnea on exertion. Last\nweek she had a fall and hit her right face. she also had 1 day\nof diarrhea, which resolved early last week. Found to be in DKA\nwith AG 30 and bicarb 11.\n.\nIn the ED inital vitals were 09:00 0 98.2 113 181/99 22 100% RA.\nK 4.7, HCO3 11, Anion Gap 30, Cr. 2.7 (baseline 1.6-2.0) She is\non her 3rd L NS. Insulin srip at 5 units/hr. On home at 22\nlevemir in am and 12 at with difficult to control sugars. BPs\nhave been high. Given 30 mtroprolol tartrate in ED.\n\nShe was started on an insulin drip at 5 units/hr and 3L NS\nboluses. Also aspirin 325mg PO and Morphine 4mg IVx1 for pain.\nCXr was clear. EKG NAD.\n.\nReview of systems: otherwise negative.\n\nPast Medical History:\nType 1 diabetes mellitis w/ neuropathy, nephropathy, and\nretinopathy - 2 episodes of DKA in [**6-12**] and [**7-12**]\nHTN - 5 years\ngastroparesis - 1.5 years\nCKD - stage III, baseline Cr 2.4-2.5, proteinuria\nL1 vertebral fracture - [**2117-7-17**]\nSystolic ejection murmur\n\nSocial History:\nPatient lives at home in [**Location (un) **] with her 8 y/o daughter and\nboyfriend. She has no history of EtOH, tobacco, or illicit drug\nuse. She is currently unemployed and seeking disability.\n\n\nFamily History:\nBoth parents have HTN and T2DM. Grandfather had an MI in his\n40s.\n\nPhysical Exam:\nGEN: Awake, alert, and oriented\nHEENT: PERRLA. MMM. no JVD. neck supple. No cervical LAD\nCards: RRR, S1/S2 normal. II/VI systolic ejection murmur heard\nbest at the L upper sternal border.\nPulm: CTABL with no crackles or wheezes.\nAbd: BS+, soft, NT, no rebound/guarding, no HSM, no [**Doctor Last Name 515**]\nsign\nExtremities: wwp, no edema. radials, DPs, PTs 2+.\nSkin: no rashes or bruising. no skin tenting.\nNeuro: CNs II-XII intact. Upper extremities: Power [**5-6**]\nbilaterally. Le: left power: 4.5/5 right: power [**3-6**]. Bilateral\nsymmetric, reduced sensation distal LE to ankles.\n\n\nPertinent Results:\nAdmission Labs: [**2117-9-11**] 09:22AM\nWBC-11.9* RBC-4.58 HGB-13.0 HCT-36.5 MCV-80* PLT COUNT-466*\nLIPASE-22 ALT(SGPT)-10 AST(SGOT)-16 ALK PHOS-105 TOT BILI-0.5\nGLUCOSE-260* UREA N-48* CREAT-2.7* SODIUM-137 POTASSIUM-4.9\nCL-101 CO2-11*\nLACTATE-1.9\n\nDischarge Labs: [**2117-9-16**] 07:10AM\nWBC-6.8 RBC-3.67* Hgb-10.4* Hct-30.2* MCV-82 Plt Ct-298\nGlucose-118* UreaN-20 Creat-2.3* Na-137 K-3.7 Cl-104 HCO3-23\nAnGap-14\nCalcium-8.7 Phos-3.5 Mg-2.0\n\nRadiology:\nCXR: No evidence of pneumonia or other pathological\nabnormalities. No\npleural effusions. No pulmonary edema. Normal size of the\ncardiac\nsilhouette.\n\nMicrobiology: Urine culture negative, blood cultures no growth\nto date, stool for C.difficile negative\n\n\nBrief Hospital Course:\n35 yo F with HTN \u0026 poorly controlled type I DM, c/b neuropathy,\ngastroparesis, nephropathy ?????? CKD, retinopathy presents with DKA\nand hypertension SBP to 200s.\n.\n# Diabetic ketoacidosis: Patient controls diabetes at home with\nHumalog SS and long acting Levemir. Sugars at home recently\nhave been in 250s. In the ED, glucose was 466. UA was +ve for\nketones ?????? corrected to 200s, but rose again to 300s. She was\ntreated with an insulin drip which was transitioned to subq when\nshe tolerated POs. Her electrolytes were repleted and she\nreceived aggressive volume resuscitation. [**Last Name (un) **] saw her and\ngave sliding scale recommendations which were implemented. No\nsource for DKA found, beleived to be [**2-3**] gastroparesis. Nausea\nmanaged with ativan, compazine, and promethazine. She was\ndischarged on her home Insulin and sliding scale with\ninstructions to follow-up with [**Last Name (un) **].\n\n# HTN: Hypertensive with SBP in 190s initially, attributed to\nDKA, as she has experienced in the past. As she improved her\nblood pressures normalized and she was re-started on her home\nLopressor and Midodrine regimen.\n\n# Coffee grounds emesis: Emesis started off as clear, then with\nprolonged wretching, she started having coffee-grounds vomiting.\nThis had also occurred on prior admissions for DKA with\nassociated vomiting. Her hematocrit remained stable and her\nhematemesis self-resolved, and so work-up was deferred to the\noutpatient setting.\n\n# Acute on chronic kidney disease, Stage III: Patient\u0027s Cr on\nadmission was 2.7, trending down to 2.1-2.3 following fluids,\nconsistent with her known CKD secondary to diabetic nephropathy.\n\n\nMedications on Admission:\n1. citalopram 20 mg Tablet Sig: One (1) Tablet PO DAILY (Daily).\n\n2. Levemir 100 unit/mL Solution Sig: Twenty Two (22) units\nSubcutaneous every AM.\n3. Levemir 100 unit/mL Solution Sig: Twelve (12) units\nSubcutaneous at bedtime.\n4. Humalog 100 unit/mL Solution Sig: sliding scale as directed\nSubcutaneous four times a day: Please use sliding scale as\ndirected by MD [**First Name8 (NamePattern2) 767**] [**Last Name (Titles) **].\n5. metoprolol tartrate 50 mg Tablet Sig: 1.5 Tablets PO DAILY\n(Daily): take in the evening.\n6. promethazine 25 mg Tablet Sig: 0.5 Tablet PO Q8H (every 8\nhours) as needed for nausea.\n7. gabapentin 300 mg Capsule Sig: One (1) Capsule PO Q12H (every\n\n12 hours).\nDisp:*60 Capsule(s)* Refills:*2*\n8. duloxetine 30 mg Capsule, Delayed Release(E.C.) Sig: Two (2)\nCapsule, Delayed Release(E.C.) PO DAILY (Daily): Please take\nonly 1 capsule daily (30 mg) for first 2 weeks of treatment.\nDisp:*60 Capsule, Delayed Release(E.C.)(s)* Refills:*2*\n9. oxycodone 5 mg Capsule Sig: One (1) Capsule PO every eight\n(8) hours as needed for pain.\n10. midodrine 5 mg Tablet Sig: 1.5 Tablets PO every four (4)\nhours: Can hold while sleeping.\nDisp:*270 Tablet(s)* Refills:*2*\n\n\nDischarge Medications:\n1. citalopram 20 mg Tablet Sig: One (1) Tablet PO DAILY (Daily).\n\n2. gabapentin 300 mg Capsule Sig: One (1) Capsule PO Q12H (every\n12 hours).\n3. duloxetine 30 mg Capsule, Delayed Release(E.C.) Sig: One (1)\nCapsule, Delayed Release(E.C.) PO DAILY (Daily).\n4. metoprolol tartrate 25 mg Tablet Sig: Three (3) Tablet PO\nOnce Daily at 6 PM.\n5. midodrine 2.5 mg Tablet Sig: Three (3) Tablet PO DAILY\n(Daily).\n6. Levemir 100 unit/mL Solution Sig: As directed by [**Last Name (un) **] units\nSubcutaneous As directed.\n\n\nDischarge Disposition:\nHome\n\nDischarge Diagnosis:\nDiabetic keotacidosis\nHematemesis (blood in your vomit)\nHypertension\nChronic renal insufficiency\n\nDischarge Condition:\nMental Status: Clear and coherent.\nLevel of Consciousness: Alert and interactive.\nActivity Status: Ambulatory - Independent.\n\nDischarge Instructions:\nYou were admitted to the hospital with DKA, hypertension, and\nblood in your vomit. You were initially treated in the ICU with\nan insulin drip, and your blood sugars improved. Your blood\npressure medications were adjusted to better control your blood\npressure while you were in DKA, but you were re-started on your\nhome regimen at discharge. The blood in your vomit was likely\nsecondary to mechanical trauma from repeated wretching, but you\nshould follow-up with your primary care doctor to discuss\nwhether you should undergo further evaluation such as an upper\nendoscopy. Given your complaints of chronic cough and heartburn,\nyou should also discuss beginning a trial of a proton pump\ninhibitor such as Nexium or Prilosec to see if this helps your\nsymptoms.\n\nYour insulin regimen was adjusted by the [**Last Name (un) **] team while you\nwere here. You should continue to follow-up with them with any\nquestions or concerns regarding your insulin management.\n\nFollowup Instructions:\nPlease call Dr.[**Last Name (STitle) 805**]\u0027 office to schedule a follow-up\nappointment within 7-10 days of discharge. Her office number is\n[**Telephone/Fax (1) 85219**].\n\nYou should also continue to follow-up with your [**Last Name (un) **] doctors\nas needed.\n\n\n\nICD9 Codes: 5849"
1691
+ }
1692
+ ```
1693
+
1694
+
1695
+ ### Data Splits
1696
+
1697
+ The dataset contains a single split, which is `train`.
1698
+
1699
+ ## Dataset Creation
1700
+
1701
+ ### Curation Rationale
1702
+
1703
+ [More Information Needed]
1704
+
1705
+ ### Source Data
1706
+
1707
+ #### Initial Data Collection and Normalization
1708
+
1709
+ [More Information Needed]
1710
+
1711
+ #### Who are the source language producers?
1712
+
1713
+ [More Information Needed]
1714
+
1715
+ ### Annotations
1716
+
1717
+ #### Annotation guidelines
1718
+
1719
+ [More Information Needed]
1720
+
1721
+ #### Annotation process
1722
+
1723
+ [More Information Needed]
1724
+
1725
+ #### Who are the annotators?
1726
+
1727
+ [More Information Needed]
1728
+
1729
+ ### Personal and Sensitive Information
1730
+
1731
+ [More Information Needed]
1732
+
1733
+ ## Considerations for Using the Data
1734
+
1735
+ ### Social Impact of Dataset
1736
+
1737
+ [More Information Needed]
1738
+
1739
+ ### Discussion of Biases
1740
+
1741
+ [More Information Needed]
1742
+
1743
+ ### Other Known Limitations
1744
+
1745
+ [More Information Needed]
1746
+
1747
+ ## Additional Information
1748
+
1749
+ ### Dataset Curators
1750
+
1751
+ [More Information Needed]
1752
+
1753
+ ### Licensing Information
1754
+
1755
+ [More Information Needed]
1756
+
1757
+ ### Citation Information
1758
+
1759
+ [More Information Needed]
1760
+
1761
+ ### Contributions
1762
+
1763
+ [More Information Needed]