Update README.md

README.md

@@ -23,5 +23,25 @@ dataset_info:
   dataset_size: 13388170.5
 ---
 # Dataset Card for "have_one"
+The dataset consists of utterances of `have one` that are cut either from an utterance of `I have one now`, or from an utterance
+of `I only have one`.  The first tends to have prominence on `have`, while the second tends to have prominence on `one`. See
+github.com/MatsRooth/fiyou on the methodology for finding the utterances on Youtube, and aligning and cutting them using
+Kaldi.
+
+To put the dataset on huggingface hub, start with this directory structure, where the bottom directories contain wav files.  
+```
+have_one
+└── data
+    ├── I+have+one+now
+    └── I+only+have+one
+```
+Run `have_one_hub.py` to create the dataset, using the generic Huggingface methodology for audio datasets. 
+
+The dataset is used in the wav2vec2 binary classification model `MatsRooth/wav2vec2-base_have_one`.
+
+Often cutting with a Kaldi phone alignment gives a snippet that includes part of preceding vowel, or has formant structure
+in the start of /h/ that gives information about the preceding vowel. These vowels are different for
+the two classes, and so classification can be based on this, as well as the intended prosodic difference.
+This needs to be corrected.
 
 [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)