Datasetpublic

quill1112/methods2test_small_static

methods2test_small (cleaned) + static method-level context Static context for unit-test generation, computed with tree-sitter from each row's source only (no repository checkout; target is never read). Configs default: train / validation / test from NDe2V/methods2test_small_cleaned @ 3d6a2f2061736202832b7ac2bb4e84e1c70668e8 methods2test_runnable: test from andstor/methods2test_runnable (fm+fc+c+m+f+t+tc) @ ed8cded666b2f7d101ba04a7a8d121b6249d8c39… See the full description on the dataset page: https://huggingface.co/datasets/quill1112/methods2test_small_static.

sourceHugging Faceupdated 18d agoView on Hugging Face

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methods2test_small (cleaned) + static method-level context

Static context for unit-test generation, computed with tree-sitter from each row's source only (no repository checkout; target is never read).

Configs

—default: train / validation / test from `NDe2V/methods2test_small_cleaned` @ 3d6a2f2061736202832b7ac2bb4e84e1c70668e8
—methods2test_runnable: test from `andstor/methods2test_runnable` (fm+fc+c+m+f+t+tc) @ ed8cded666b2f7d101ba04a7a8d121b6249d8c39

Added columns

column	meaning
`static_context`	JSON string: focal, classinfo, ast, cfg, dfg, cdg, paths, calls, types, fields, exceptions, metrics, testcase, context_text
`context_text`	full text summary
`prompt_context`	compact Java comment actually used in the prompt ("" if dropped)
`source_ctx`	`prompt_context + source`: ready-to-use prompt for `Salesforce/codegen-350M-multi` within 2048 tokens
`ctx_included`	whether context fit the token budget
`static_status`	ok / partial / error

python

import json
from datasets import load_dataset
ds = load_dataset("quill1112/methods2test_small_static", "default", split="train")
sc = json.loads(ds[0]["static_context"])   # nested AST/CFG/DFG/...