yujunjun/haystack
1
0
Fork 0
mirror of https://github.com/deepset-ai/haystack.git synced 2025-10-31 01:39:45 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update annotation docs for website (#505)

Browse Source 
* update annotation docs for website

* add md file for docs

* add user manual
This commit is contained in:
Malte Pietsch 2020-11-03 11:24:06 +01:00 committed by GitHub
parent 7a43d1a72d
commit df13a6830d
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 48 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
annotation_tool/README.md
View File

@ -1,13 +1,18 @@
# Haystack Annotation Tool
# Annotation Tool
This document describes setting up the Haystack Annotation Tool with the publicly available Docker Images. Alternatively,
a hosted version of the tool is available at https://annotate.deepset.ai/login.
- Create labels with different techniques: Come up with questions (+ answers) while reading passages (SQuAD style) or have a set of predefined questions and look for answers in the document (~ Natural Questions).
- Structure your work via organizations, projects, users
- Upload your documents or import labels from an existing SQuAD-style dataset
- Export your labels in SQuAD Format
![image](../docs/_src//img/annotation_tool.png)
# Hosted version
Signup here: [Haystack Annotation Tool](https://annotate.deepset.ai/login)
# Setup Annotation Tool with Docker
# Local version (Docker)
1. Configure credentials & database in the `docker-compose.yml` file:
1. Configure credentials & database in the [`docker-compose.yml`](https://github.com/deepset-ai/haystack/blob/master/annotation_tool/docker-compose.yml):
The credentials should match in database image and application configuration.

38
docs/_src/usage/usage/annotation.md Normal file
View File

@ -0,0 +1,38 @@
# Annotation Tool
- Create labels with different techniques: Come up with questions (+ answers) while reading passages (SQuAD style) or have a set of predefined questions and look for answers in the document (~ Natural Questions).
- Structure your work via organizations, projects, users
- Upload your documents or import labels from an existing SQuAD-style dataset
- Export your labels in SQuAD Format
![image](../../img/annotation_tool.png)
# Hosted version
Signup here: [Haystack Annotation Tool](https://annotate.deepset.ai/login)
# Local version (Docker)
1. Configure credentials & database in the [`docker-compose.yml`](https://github.com/deepset-ai/haystack/blob/master/annotation_tool/docker-compose.yml):
The credentials should match in database image and application configuration.
DEFAULT_ADMIN_EMAIL: "example@example.com"
DEFAULT_ADMIN_PASSWORD: "DEMO-PASSWORD"
PROD_DB_NAME: "databasename"
PROD_DB_USERNAME: "somesafeuser"
PROD_DB_PASSWORD: "somesafepassword"
POSTGRES_USER: "somesafeuser"
POSTGRES_PASSWORD: "somesafepassword"
POSTGRES_DB: "databasename"
2. Run docker-compose by executing `docker-compose up`.
3. The UI should be available at `localhost:7001`.
# Usage
The manual (of a slightly earlier version) can be found [here](https://drive.google.com/file/d/1Wv3OIC0Z7ibHIzOm9Xw_r0gjTFmpl-33/view). While it doesn't include all latest features, the basic workflow and tips for label quality are still the same.