language:
- en
license: cc-by-sa-4.0
configs:
- config_name: case-description
data_files:
- split: train
path: case-description/train-*
- config_name: clinical-guidelines
data_files:
- split: train
path: clinical-guidelines/train-*
- config_name: contract-coverage-rule-medical-policy
data_files:
- split: train
path: contract-coverage-rule-medical-policy/train-*
- config_name: legal
data_files:
- split: train
path: legal/train-*
- config_name: opinion-policy-summary
data_files:
- split: train
path: opinion-policy-summary/train-*
- config_name: regulatory-guidance
data_files:
- split: train
path: regulatory-guidance/train-*
dataset_info:
- config_name: case-description
features:
- name: text
dtype: string
- name: tags
sequence: string
- name: date_accessed
dtype: string
- name: source_url
dtype: string
- name: source_md5
dtype: string
- name: relative_path
dtype: string
- name: decision
dtype: string
- name: appeal_type
dtype: string
splits:
- name: train
num_bytes: 1694360988
num_examples: 990065
download_size: 402963667
dataset_size: 1694360988
- config_name: clinical-guidelines
features:
- name: text
dtype: string
- name: tags
sequence: string
- name: date_accessed
dtype: string
- name: source_url
dtype: string
- name: source_md5
dtype: string
- name: relative_path
dtype: string
splits:
- name: train
num_bytes: 562276777
num_examples: 40110
download_size: 266629038
dataset_size: 562276777
- config_name: contract-coverage-rule-medical-policy
features:
- name: text
dtype: string
- name: tags
sequence: string
- name: date_accessed
dtype: string
- name: source_url
dtype: string
- name: source_md5
dtype: string
- name: relative_path
dtype: string
splits:
- name: train
num_bytes: 30225716
num_examples: 3661
download_size: 12426008
dataset_size: 30225716
- config_name: legal
features:
- name: text
dtype: string
- name: tags
sequence: string
- name: date_accessed
dtype: string
- name: source_url
dtype: string
- name: source_md5
dtype: string
- name: relative_path
dtype: string
splits:
- name: train
num_bytes: 596329842
num_examples: 1348
download_size: 238155541
dataset_size: 596329842
- config_name: opinion-policy-summary
features:
- name: text
dtype: string
- name: tags
sequence: string
- name: date_accessed
dtype: string
- name: source_url
dtype: string
- name: source_md5
dtype: string
- name: relative_path
dtype: string
splits:
- name: train
num_bytes: 131693040
num_examples: 2081
download_size: 62275853
dataset_size: 131693040
- config_name: regulatory-guidance
features:
- name: text
dtype: string
- name: tags
sequence: string
- name: date_accessed
dtype: string
- name: source_url
dtype: string
- name: source_md5
dtype: string
- name: relative_path
dtype: string
splits:
- name: train
num_bytes: 38848315
num_examples: 1110
download_size: 17339277
dataset_size: 38848315
HICRIC: A Dataset of Law, Policy, and Regulatory Guidance for Health Insurance Coverage Understanding
Health Insurance Coverage Rules Interpretation Corpus is a collection of unannotated text curated to support applications that require understanding of U.S. health insurance coverage rules.
It consists of a small, unlabeled corpus of authoritative and non-authoritative text related to law, insurance contracts, and medicine. The corpus is intended for use in pretraining language models and, independently, for use as a standalone knowledge base in retrieval pipelines.
This data repository houses the processed, unlabeled data referenced in a more general work documented here: https://github.com/TPAFS/hicric.
Redistribution
Please consult the licenses for all source data for yourself if you plan to redistribute any of it. To the best of our knowledge, our redistributions abide by all such licenses.
Risks
We believe there are numerous risks associated with our released data, which we've done our best to mitigate. Our main concerns involve:
- Potential for Propagation of Bias
- Potential for Misuse
Please see our forthcoming paper for a thorough discussion of these perceived risks.
Limitations
There are many limitations associated with our released data, and our advice is to consider and weigh these limitations carefully to inform resonsible and effective use. The main categories of limitation are:
- Task Shortcomings
- Simplicity of the Benchmark
- Corpus Deficiencies
Please see our forthcoming paper for a thorough discussion of these perceived risks.
Dataset Breakdown
Each document in our dataset comes equipped with a set of plain-text tags. In constructing the data we formulated a particular privileged set of partitioning tags: these are a set of tags with the property that each document in the dataset is associated with exactly one tag in the set, and none of the tags are unused.
The tags are the following:
legal
regulatory-guidance
contract-coverage-rule-medical-policy
opinion-policy-summary
case-description
clinical-guidelines
In addition to this set of partitioning tags, we intoduce another privileged tag:
kb This tag indicates that a document is suitable for use in a knowledge base.
This is a subjective determination, but the intent is to label text that comes from a reputable, definitive source. For example, a summary of Medicaid rules as stated by an employee of HHS during congressional testimony would not be labeled with the
kbtag, because such testimony is not the definitive source for the ground truth of such rules. On the other hand, federal law describing those same rules would be labeled with thekbtag.
A high level characterization of the distribution of text in our corpus in terms of these privileged tags is shown in the table below.
| Category | Num Documents | Words | Chars | Size (GB) |
|---|---|---|---|---|
| All Partition Parts | 8,310 | 417,617,646 | 2,699,256,987 | 2.81 |
| kb | 1,434 | 170,717,368 | 1,120,961,295 | 1.13 |
| legal | 335 | 92,357,802 | 596,044,008 | 0.60 |
| regulatory-guidance | 1,110 | 5,536,585 | 38,607,587 | 0.04 |
| contract-coverage-rule-medical-policy | 7 | 196,156,813 | 1,228,184,524 | 1.31 |
| opinion-policy-summary | 2,094 | 19,462,399 | 133,049,956 | 0.14 |
| case-description | 2,629 | 214,267,074 | 1,351,074,791 | 1.45 |
| clinical-guidelines | 2,150 | 81,955,020 | 553,041,990 | 0.56 |
Contact
For questions or comments, please reach out to [email protected].