Coq-Iris / README.md
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Duplicate from phanerozoic/Coq-Iris
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metadata
license: bsd-3-clause
task_categories:
  - text-generation
  - feature-extraction
language:
  - en
tags:
  - theorem-proving
  - formal-methods
  - coq
  - separation-logic
  - iris
  - concurrent-programming
size_categories:
  - 10K<n<100K
dataset_info:
  features:
    - name: fact
      dtype: string
    - name: type
      dtype: string
    - name: library
      dtype: string
    - name: imports
      list: string
    - name: filename
      dtype: string
    - name: symbolic_name
      dtype: string
    - name: docstring
      dtype: string
  splits:
    - name: train
      num_bytes: 6186201
      num_examples: 10229
  download_size: 777517
  dataset_size: 6186201
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Coq-Iris

Structured dataset from Iris, a higher-order concurrent separation logic framework for Coq.

Dataset Description

Schema

Column Type Description
fact string Declaration body
type string Lemma, Definition, Class, Global, Local, etc.
library string Module (iris, iris_heap_lang, iris_unstable, etc.)
imports list Require/Import statements
filename string Source file path
symbolic_name string Declaration identifier

Statistics

By Type

Type Count
Lemma 4,569
Global 3,262
Local 932
Definition 707
Class 205
Ltac 124
Notation 96
Program 81
Inductive 78
Record 59

By Library

Library Count
iris 8,278
tests 981
iris_heap_lang 657
iris_unstable 197
iris_deprecated 116

About Iris

Iris is a framework for higher-order concurrent separation logic, used for reasoning about concurrent and distributed programs. It is widely used in verified systems software research.

Use Cases

  • Retrieval/RAG for Iris/separation logic
  • Learning concurrent verification patterns
  • Training embeddings for formal proofs
  • Verified systems research

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