Datasets:
pretty_name: CodeSpan
license: other
license_name: mixed-upstream-licenses
license_link: LICENSE
task_categories:
- text-generation
size_categories:
- n<1K
tags:
- code
- code-completion
- long-context
- speculative-decoding
- longspark
configs:
- config_name: default
default: true
data_files:
- split: test
path: codespan_64K.jsonl
- config_name: longspark
data_files:
- split: test
path: longspark/code_64k.jsonl
CodeSpan
64K source-code continuation for long-context decoding.
CodeSpan contains 32 examples from 17 open-source projects, including LLVM, GCC, Linux, and PostgreSQL. Each example is a contiguous prefix of a distinct source file, wrapped as a continuation prompt: 65,536 Qwen3 tokens, including the chat template with thinking disabled. Files are neither concatenated nor repeated. There are at most four files per project; 28 of the 32 files are C/C++.
| Configuration | Contents |
|---|---|
default |
id, language, formatted prompt, input_ids, and source with repository, revision, path, URL, license, and modification notice. |
longspark |
The same 32 examples in the same order, as source_id and input_ids, matching the LongSpark evaluation inputs. |
from datasets import load_dataset
data = load_dataset("Hehy/CodeSpan", split="test")
input_ids = data[0]["input_ids"]
Use the supplied token IDs directly; the chat template is already included. This is a decoding workload with no reference continuations. The release manifest records file hashes and tokenizer identity.
Source excerpts retain their upstream licenses. Full license texts, copyright notices, and the per-sample inventory are in THIRD_PARTY_NOTICES.txt; retain them when redistributing the data.