Update README.md

README.md

@@ -78,7 +78,9 @@ size_categories:
 - 100K<n<1M
 ---
 
-# Dataset Card for Dataset Name
+
+
+# Dataset Card for Librispeech Alignments
 
 Librispeech with alignments generated by the [Montreal Forced Aligner](https://montreal-forced-aligner.readthedocs.io/en/latest/). The original alignments in TextGrid format can be found [here](https://zenodo.org/records/2619474)
 
@@ -87,140 +89,91 @@ Librispeech with alignments generated by the [Montreal Forced Aligner](https://m
 
 ### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
+Librispeech is a corpus of read English speech, designed for training and evaluating automatic speech recognition (ASR) systems. The dataset contains 1000 hours of 16kHz read English speech derived from audiobooks.
 
+The Montreal Forced Aligner (MFA) was used to generate word and phoneme level alignments for the Librispeech dataset.
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
 
-### Dataset Sources [optional]
+- **Curated by:** Vassil Panayotov, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur
+- **Funded by:** DARPA LORELEI
+- **Shared by:** Loren Lugosch
+- **Language(s) (NLP):** English
+- **License:** Creative Commons Attribution 4.0 International License
 
-<!-- Provide the basic links for the dataset. -->
+### Dataset Sources
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Repository:** https://www.openslr.org/12
+- **Paper:** https://arxiv.org/abs/1512.02595
+- **Alignments:** https://zenodo.org/record/2619474
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
-
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
+The Librispeech dataset can be used to train and evaluate ASR systems. The alignments allow for forced alignment techniques.
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
+The dataset only contains read speech, so may not perform as well on spontaneous conversational speech.
 
 ## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+The dataset contains 1000 hours of segmented read English speech from audiobooks. There are three subsets: 100 hours (train-clean-100), 360 hours (train-clean-360) and 500 hours (train-other-500).
 
-[More Information Needed]
+The alignments connect the audio to the reference text transcripts on word and phoneme level.
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
-
-### Source Data
+Librispeech was created to further speech recognition research and to benchmark progress in the field.
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+### Source Data  
 
 #### Data Collection and Processing
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+The audio and reference texts were sourced from read English audiobooks in the LibriVox project. The data was segmented, filtered and prepared for speech recognition.
 
-[More Information Needed]
+#### Who are the source data producers? 
 
-#### Who are the source data producers?
+The audiobooks are read by volunteers for the LibriVox project. Information about the readers is available in the LibriVox catalog.
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+### Annotations
 
-[More Information Needed]
+#### Annotation process  
 
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
+The Montreal Forced Aligner was used to create word and phoneme level alignments between the audio and reference texts. The aligner is based on Kaldi.
 
 #### Who are the annotators?
 
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
+The alignments were generated automatically by the Montreal Forced Aligner and shared by Loren Lugosch.
 
 #### Personal and Sensitive Information
 
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
+The data contains read speech and transcripts. No personal or sensitive information expected.
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+The dataset contains only read speech from published books, not natural conversational speech. Performance on other tasks may be reduced.
 
 ### Recommendations
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Users should understand that the alignments may contain errors and account for this in applications.
 
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+## Citation  
 
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX for the original Librispeech:**
+**BibTeX for Librispeech:**
 ```
-@inproceedings{panayotov2015librispeech,
+@inproceedings{panayotov2015librispeech,  
   title={Librispeech: an ASR corpus based on public domain audio books},
-  author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
-  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
-  pages={5206--5210},
-  year={2015},
-  organization={IEEE}
+  author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},  
+  booktitle={ICASSP},   
+  year={2015},   
+  organization={IEEE} 
 }
 ```
 
-[More Information Needed]
-
 **APA for Alignments:**
 ```
-Loren Lugosch. (2019). LibriSpeech Alignments (1.0). Zenodo. https://doi.org/10.5281/zenodo.2619474
-```
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
-
-[More Information Needed]
-
-## Dataset Card Contact
-
-[More Information Needed]
+Lugosch, L. (2019). LibriSpeech Alignments (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.2619474  
+```