link to nytimes from readme
@@ -46,7 +46,7 @@ We have a number of precomputed data sets for this. All data sets are pre-split
| Glove | 100 | 1,133,628 | 59,886 | 100 | Angular | [HDF5](http://vectors.erikbern.com/glove-100-angular.hdf5) (463MB) |
| Glove | 200 | 1,133,628 | 59,886 | 100 | Angular | [HDF5](http://vectors.erikbern.com/glove-200-angular.hdf5) (918MB) |
| [MNIST](http://yann.lecun.com/exdb/mnist/) | 784 | 60,000 | 10,000 | 100 | Euclidean | [HDF5](http://vectors.erikbern.com/mnist-784-euclidean.hdf5) (217MB) |
-| [NYTimes](https://archive.ics.uci.edu/ml/datasets/bag+of+words) | 256 | 290,000 | 10,000 | 100 | Angular | **TODO**
+| [NYTimes](https://archive.ics.uci.edu/ml/datasets/bag+of+words) | 256 | 290,000 | 10,000 | 100 | Angular | [HDF5](http://vectors.erikbern.com/nytimes-256-angular.hdf5) (301MB) |
| [SIFT](https://corpus-texmex.irisa.fr/) | 128 | 1,000,000 | 10,000 | 100 | Euclidean | [HDF5](http://vectors.erikbern.com/sift-128-euclidean.hdf5) (501MB) |
Note that a few other datasets were used previously, in particular for Hamming and set similarity. We are going to add them back shortly in the more convenient HDF5 format.
