{"id":19646141,"url":"https://github.com/yoctol/uttut","last_synced_at":"2025-02-27T00:16:12.537Z","repository":{"id":47542551,"uuid":"126817702","full_name":"Yoctol/uttut","owner":"Yoctol","description":"Utterance utilities.","archived":false,"fork":false,"pushed_at":"2021-04-20T21:58:09.000Z","size":1173,"stargazers_count":0,"open_issues_count":11,"forks_count":0,"subscribers_count":10,"default_branch":"master","last_synced_at":"2025-02-10T14:03:45.552Z","etag":null,"topics":["bert","chatbot","natural-language-processing"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Yoctol.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-03-26T11:19:39.000Z","updated_at":"2024-12-03T03:32:27.000Z","dependencies_parsed_at":"2022-08-30T13:01:58.009Z","dependency_job_id":null,"html_url":"https://github.com/Yoctol/uttut","commit_stats":null,"previous_names":[],"tags_count":22,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yoctol%2Futtut","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yoctol%2Futtut/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yoctol%2Futtut/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yoctol%2Futtut/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Yoctol","download_url":"https://codeload.github.com/Yoctol/uttut/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240953491,"owners_count":19884024,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bert","chatbot","natural-language-processing"],"created_at":"2024-11-11T14:37:04.075Z","updated_at":"2025-02-27T00:16:12.517Z","avatar_url":"https://github.com/Yoctol.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# UTTUT\n\n[![travis][travis-image]][travis-url]\n[![codecov][codecov-image]][codecov-url]\n[![pypi][pypi-image]][pypi-url]\n![release][release-image]\n\n[travis-image]: https://img.shields.io/travis/Yoctol/uttut.svg?style=flat\n[travis-url]: https://travis-ci.org/Yoctol/uttut\n[pypi-image]: https://img.shields.io/pypi/v/uttut.svg?style=flat\n[pypi-url]: https://pypi.python.org/pypi/uttut\n[codecov-image]: https://codecov.io/gh/Yoctol/uttut/branch/master/graph/badge.svg\n[codecov-url]: https://codecov.io/gh/Yoctol/uttut\n[release-image]: https://img.shields.io/github/release/Yoctol/uttut.svg\n\n\nUTTerance UTilities for dialogue system. This package provides some general utils when processing chatbot utterance data.\n\n# BERT Pipe\n\nTo create a pipe for BERT preprocessing, please take a look at [BERT](https://github.com/Yoctol/uttut/tree/master/uttut/pipeline/bert).\n\n# Installation\n\n```\n$ pip install uttut\n```\n\n# Usage\n\nLet's create a Pipe to preprocess a Datum with English utterance.\n\n## Build a Pipe\n\n```python\n\u003e\u003e\u003e from uttut.pipeline.pipe import Pipe\n\n\u003e\u003e\u003e p = Pipe()\n\u003e\u003e\u003e p.add('IntTokenWithSpace')\n\u003e\u003e\u003e p.add('FloatTokenWithSpace')\n\u003e\u003e\u003e p.add('MergeWhiteSpaceCharacters')\n\u003e\u003e\u003e p.add('StripWhiteSpaceCharacters')\n\u003e\u003e\u003e p.add('EngTokenizer')  # word-level (ref: BERT)\n\u003e\u003e\u003e p.add('AddSosEos', checkpoint='result_of_add_sos_eos')\n\u003e\u003e\u003e p.add('Pad', {'maxlen': 5})\n\u003e\u003e\u003e p.add(\n    'Token2Index',\n    {\n       'token2index': {\n            '\u003csos\u003e': 0, '\u003ceos\u003e': 1,  # for  AddSosEos\n            '\u003cunk\u003e': 2, '\u003cpad\u003e': 3,  # for Pad\n            '_int_': 4,  # for IntTokenWithSpace\n            '_float_': 5,  # for FloatTokenWithSpace\n            'I': 6,\n            'apples': 7,\n        },\n    },\n)\n```\n\n## transform\n\n```python\n\u003e\u003e\u003e from uttut.elements import Datum, Entity, Intent\n\u003e\u003e\u003e datum = Datum(\n    utterance='I like apples.',\n    intents=[Intent(label=1), Intent(label=2)],\n    entities=[Entity(start=7, end=13, value='apples', label=7)],\n)\n\u003e\u003e\u003e output_indices, intent_labels, entity_labels, label_aligner, intermediate = p.transform(datum)\n\u003e\u003e\u003e output_indices\n[0, 6, 2, 7, 1, 3, 3]\n\u003e\u003e\u003e intent_labels\n[1, 2]\n\u003e\u003e\u003e entity_labels\n[0, 0, 0, 7, 0, 0, 0]\n\n# intermediate\n\u003e\u003e\u003e intermediate.get_from_checkpoint('result_of_add_sos_eos')\n[\"\u003csos\u003e\", \"I\", \"like\", \"apples\", \"\u003ceos\u003e\"] \n\n# label_aligner\n\u003e\u003e\u003e label_aligner.inverse_transform(entity_labels)\n[0, 0, 0, 0, 0, 0, 0, 7, 7, 7, 7, 7, 7, 0]\n```\n\n## transform sequence\n\n```python\n\u003e\u003e\u003e output_sequence, label_aligner, intermediate = p.transform_sequence('I like apples.')\n\u003e\u003e\u003e output_sequence\n[0, 6, 2, 7, 1, 3, 3]\n\n# label_aligner\n\u003e\u003e\u003e label_aligner.transform([0, 0, 0, 0, 0, 0, 0, 7, 7, 7, 7, 7, 7, 0])\n[0, 0, 0, 7, 0, 0, 0]\n\u003e\u003e\u003e label_aligner.inverse_transform([0, 0, 0, 7, 0, 0, 0])\n[0, 0, 0, 0, 0, 0, 0, 7, 7, 7, 7, 7, 7, 0]\n\n# intermediate\n\u003e\u003e\u003e intermediate.get_from_checkpoint('result_of_add_sos_eos')\n[\"\u003csos\u003e\", \"I\", \"like\", \"apples\", \"\u003ceos\u003e\"]\n```\n\n# Serialization\n\n## Serialize\n\n```python\n\u003e\u003e\u003e serialized_str = p.serialize()\n```\n\n##  Deserialize \n\n```python\n\u003e\u003e\u003e from uttut.pipeline.pipe import Pipe\n\u003e\u003e\u003e p = Pipe.deserialize(serialized_str )\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyoctol%2Futtut","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyoctol%2Futtut","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyoctol%2Futtut/lists"}