Fix readme rst syntax

deepset-ai · Jul 16, 2020 · a6ec430 · a6ec430
1 parent d2d048c
commit a6ec430
Showing 1 changed file with 6 additions and 6 deletions.
diff --git a/README.rst b/README.rst
@@ -62,12 +62,12 @@ Components
 Resources
 =========
 
-- Tutorial 1  - Basic QA Pipeline: `Jupyter notebook  <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial1_Basic_QA_Pipeline.ipynb>`_  or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial1_Basic_QA_Pipeline.ipynb>`_
-- Tutorial 2  - Fine-tuning a model on own data: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb>`_ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb>`_
-- Tutorial 3  - Basic QA Pipeline without Elasticsearch: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial3_Basic_QA_Pipeline_without_Elasticsearch.ipynb>`_ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial3_Basic_QA_Pipeline_without_Elasticsearch.ipynb>`_
+- Tutorial 1  - Basic QA Pipeline: `Jupyter notebook  <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial1_Basic_QA_Pipeline.ipynb>`__  or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial1_Basic_QA_Pipeline.ipynb>`_
+- Tutorial 2  - Fine-tuning a model on own data: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb>`__ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb>`__
+- Tutorial 3  - Basic QA Pipeline without Elasticsearch: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial3_Basic_QA_Pipeline_without_Elasticsearch.ipynb>`__ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial3_Basic_QA_Pipeline_without_Elasticsearch.ipynb>`__
 - Tutorial 4  - FAQ-style QA: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial4_FAQ_style_QA.ipynb>`__ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial4_FAQ_style_QA.ipynb>`__
-- Tutorial 5  - Evaluation of the whole QA-Pipeline: `Jupyter noteboook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial5_Evaluation.ipynb>`_ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial5_Evaluation.ipynb>`_
-- Tutorial 6  - Better Retrievers via "Dense Passage Retrieval": `Jupyter noteboook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial6_Better_Retrieval_via_DPR.ipynb>`_ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial6_Better_Retrieval_via_DPR.ipynb>`_
+- Tutorial 5  - Evaluation of the whole QA-Pipeline: `Jupyter noteboook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial5_Evaluation.ipynb>`__ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial5_Evaluation.ipynb>`__
+- Tutorial 6  - Better Retrievers via "Dense Passage Retrieval": `Jupyter noteboook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial6_Better_Retrieval_via_DPR.ipynb>`__ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial6_Better_Retrieval_via_DPR.ipynb>`__
 
 
 Quick Start
@@ -257,7 +257,7 @@ You will find the Swagger API documentation at http://127.0.0.1:80/docs
 
 
 7. Indexing PDF / Docx files
----------------------
+-----------------------------
 
 Haystack has basic converters to extract text from PDF and Docx files. While it's almost impossible to cover all types, layouts and special cases in PDFs, the implementation covers the most common formats and provides basic cleaning functions to remove header, footers, and tables. Multi-Column text layouts are also supported.
 The converters are easily extendable, so that you can customize them for your files if needed.