repo_id
int64 0
79
| repo_name
stringlengths 14
39
| project_context
stringlengths 70
73.2M
| file_context
list | gt
sequence | metainfo_separator
stringclasses 1
value |
|---|---|---|---|---|---|
25 | ossf__fuzz-introspector | "ossf__fuzz-introspector METASEP\n\nCODE_OF_CONDUCT.md METASEP\n# Contributor Covenant Code of Condu(...TRUNCATED) | [{"content":"# Copyright 2022 Fuzz Introspector Authors\n#\n# Licensed under the Apache License, Ver(...TRUNCATED) | [" fuzz_blockers = self.get_fuzz_blockers("," self.html_create_dedicated_calltree_(...TRUNCATED) | METASEP
|
19 | vanheeringen-lab__seq2science | "vanheeringen-lab__seq2science METASEP\n\nCHANGELOG.md METASEP\n# Changelog\nAll notable changes to (...TRUNCATED) | [{"content":"import re\nimport networkx as nx\n\nrules_to_keep = {\n # \"0.13 0.6 0.85\", # yell(...TRUNCATED) | [" f.write(line)"," for a, b in self._order_edges():"," source_id =(...TRUNCATED) | METASEP
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7 | Significant-Gravitas__Auto-GPT | "Significant-Gravitas__Auto-GPT METASEP\n\nMakefile METASEP\n.PHONY: update-protocol\n\nupdate-proto(...TRUNCATED) | [{"content":"\"\"\"\nRoutes for the Agent Service.\n\nThis module defines the API routes for the Age(...TRUNCATED) | ["async def list_agent_tasks_ids(request: Request) -> List[str]:","async def download_agent_task_art(...TRUNCATED) | METASEP
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7 | Significant-Gravitas__Auto-GPT | "Significant-Gravitas__Auto-GPT METASEP\n\nMakefile METASEP\n.PHONY: update-protocol\n\nupdate-proto(...TRUNCATED) | [{"content":"import json\nimport logging\nimport logging.config\nimport logging.handlers\nimport os\(...TRUNCATED) | [" console_formatter = ConsoleFormatter(self.COLOR_FORMAT)"," return logging.Forma(...TRUNCATED) | METASEP
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7 | Significant-Gravitas__Auto-GPT | "Significant-Gravitas__Auto-GPT METASEP\n\nCONTRIBUTING.md METASEP\n\nTo contribute to this GitHub p(...TRUNCATED) | [{"content":"from autogpt import browse\nimport json\nfrom autogpt.memory import get_memory\nimport (...TRUNCATED) | [" agent_response = message_agent(key, prompt)"," if is_valid_int(key):"," agent_respon(...TRUNCATED) | METASEP
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49 | christophermayes__xopt | "christophermayes__xopt METASEP\n\nMANIFEST.in METASEP\ninclude requirements.txt\ninclude LICENSEinc(...TRUNCATED) | [{"content":"\n# This file helps to compute a version number in source trees obtained from\n# git-ar(...TRUNCATED) | ["@register_vcs_handler(\"git\", \"get_keywords\")"," raise NotThisMethod(\"'git rev-parse --(...TRUNCATED) | METASEP
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49 | christophermayes__xopt | "christophermayes__xopt METASEP\n\nMANIFEST.in METASEP\ninclude requirements.txt\ninclude LICENSEinc(...TRUNCATED) | [{"content":"\nfrom xopt.generators.ga import deap_creator\nfrom xopt.generators.ga.deap_fitness_wit(...TRUNCATED) | [" self.children.extend(self.create_children())"," return [random.uniform(a, b) fo(...TRUNCATED) | METASEP
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11 | cerfacs-globc__icclim | "cerfacs-globc__icclim METASEP\n\nMANIFEST.in METASEP\ninclude LICENSE\ninclude NOTICE\ninclude READ(...TRUNCATED) | [{"content":"import os\nimport shutil\n\nimport numpy as np\nimport pandas as pd\nimport pytest\nimp(...TRUNCATED) | [" ds_res, chunk_it = read_dataset(self.OUTPUT_NC_FILE)"," ds_res, chunk_it = read_dat(...TRUNCATED) | METASEP
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30 | TransformerOptimus__SuperAGI | "TransformerOptimus__SuperAGI METASEP\n\nCODE_OF_CONDUCT.md METASEP\n# Contributor Covenant Code of (...TRUNCATED) | [{"content":"\"\"\"Tool Model migration\n\nRevision ID: 517185535767\nRevises: 518f8576edfc\nCreate (...TRUNCATED) | [" # ### commands auto generated by Alembic - please adjust! ###"," )",""," sa.Column('name(...TRUNCATED) | METASEP
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30 | TransformerOptimus__SuperAGI | "TransformerOptimus__SuperAGI METASEP\n\nCODE_OF_CONDUCT.md METASEP\n# Contributor Covenant Code of (...TRUNCATED) | [{"content":"\"\"\"Changed Model migration\n\nRevision ID: 518f8576edfc\nRevises: 809e90f7f2a2\nCrea(...TRUNCATED) | [""," )"," sa.Column('organisation_id', sa.INTEGER(), autoincrement=False, nullable=True),"," (...TRUNCATED) | METASEP
|
End of preview. Expand
in Dataset Viewer.
Repository Level Code Completion Dataset for Evaluation
This is a dataset of repository snapshots before a commit where a python file has been added. One needs to complete added file with given content of repository composed in different ways.
How to load the data
via
load_dataset:from datasets import load_dataset data_files = # choose from the table below dataset = load_dataset("jenyag/repo-code-completion", data_files=data_files, split="train")
Options for data_files:
| all_context | non_py_context | py_context | |
|---|---|---|---|
| function class mask half composer | data/function_class_mask_half_composer/all_context/test-* | data/function_class_mask_half_composer/non_py_context/test-* | data/function_class_mask_half_composer/py_context/test-* |
| imports first composer | data/imports_first_composer/all_context/test-* | data/imports_first_composer/non_py_context/test-* | data/imports_first_composer/py_context/test-* |
| alphabetical composer | data/alphabetical_composer/all_context/test-* | data/alphabetical_composer/non_py_context/test-* | data/alphabetical_composer/py_context/test-* |
| naive composer | data/naive_composer/all_context/test-* | data/naive_composer/non_py_context/test-* | data/naive_composer/py_context/test-* |
| path distance composer | data/path_distance_composer/all_context/test-* | data/path_distance_composer/non_py_context/test-* | data/path_distance_composer/py_context/test-* |
| file length composer | data/file_length_composer/all_context/test-* | data/file_length_composer/non_py_context/test-* | data/file_length_composer/py_context/test-* |
| half memory composer | data/half_memory_composer/all_context/test-* | data/half_memory_composer/non_py_context/test-* | data/half_memory_composer/py_context/test-* |
| function class mask one composer | data/function_class_mask_one_composer/all_context/test-* | data/function_class_mask_one_composer/non_py_context/test-* | data/function_class_mask_one_composer/py_context/test-* |
How to get the full context for the specific line
for datapoint in dataset:
project_context = datapoint['project_context'] # The project context may be quite long
for file_context_dict, ground_truth in zip(datapoint['file_context'], datapoint['gt']):
file_context = file_context_dict['content']
full_context = project_context + file_context
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