Moved some of the README notes to the quickstart guide.

The quickstart was more complete anyways. We'll continue it there.

Author: rdadolf

README.md

@@ -40,26 +40,8 @@ These links should take you to the original data owners:
 - TIMIT - requires membership of the Linguistic Data Consortium (this is not free, but it is widely available in the research community).
 - Atari "Breakout" ROM - available online
 
-## Running
+## Getting Started
 
-#### Prerequisites:
-Fathom is tested with TensorFlow v0.8rc0, and due to API instability, there are issues with recent versions (Google has changed TF's layout several times). If you're willing to rename your functions and swap a couple import statements, recent versions of TF should work.
+We've begun to put together some actual documentation, and it's already better than what we had: [Fathom Quickstart Guide](http://fathom.readthedocs.io/en/latest/quickstart/).
 
-Many of the models require external python libraries (e.g., [ALE](https://github.com/mgbellemare/Arcade-Learning-Environment) for DeepQ). Most of these are available as `pip` packages.
-
-#### Running a single model:
-
-Models can be run directly:
-```
-$ ./fathom/seq2seq/seq2seq.py
-```
-
-Or as a library:
-```
-export PYTHONPATH=`pwd`/fathom
-$ python
->>> from fathom import Seq2seq
->>> model = Seq2seq()
->>> model.setup()
->>> model.run()
-```
+Please bear with us as the docs get fleshed out.

docs/quickstart.md

@@ -57,9 +57,36 @@ The image will automatically be downloaded from the Docker hub, launched, and yo
 
 # Downloading Data
 
-*In progress*
+*<div style='color: red'>Documentation in progress</div>*
+
+Fathom does not come with datasets suitable for training. This is a combination of size (realistic training sets are often massive) and licensing (an oft-repeated mantra is that good data is more valuable than a good model).
+Regardless, the inputs Fathom is designed for are standard and widely-available.
+
+These links should take you to the original data owners:
+
+- [ImageNet](http://www.image-net.org/download-images) - requires registration, but downloads are free for non-commercial purposes.
+- [WMT15](http://www.statmt.org/europarl/) - automatically downloaded by Fathom
+- [bAbI](https://research.facebook.com/research/babi/)
+- [MNIST](http://yann.lecun.com/exdb/mnist/) - automatically downloaded by Fathom.
+- [TIMIT](https://catalog.ldc.upenn.edu/ldc93s1) - requires membership of the Linguistic Data Consortium (this is not free, but it is widely available in the research community).
+- Atari "Breakout" ROM - [You'll have to find this on your own.](https://www.google.com/search?q=atari+breakout+rom)
 
 # Running the Workloads
 
-*In progress*
+*<div style='color: red'>Documentation in progress</div>*
+
+Models can be run directly:
+```sh
+$ ./fathom/seq2seq/seq2seq.py
+```
+
+Or as a library:
+```python
+export PYTHONPATH=`pwd`/fathom
+$ python
+>>> from fathom import Seq2seq
+>>> model = Seq2seq()
+>>> model.setup()
+>>> model.run()
+```