Update README.md

README.md

@@ -68,16 +68,25 @@ The audio and transcriptions are in English, as per the TED talks at http://www.
 ## Dataset Structure
 
 ### Data Instances
-
-TODO
-
+```
+{'audio': {'path': '/home/sanchitgandhi/cache/downloads/extracted/6e3655f9e735ae3c467deed1df788e0dabd671c1f3e2e386e30aa3b571bd9761/TEDLIUM_release1/train/stm/PaulaScher_2008P.stm', 
+  'array': array([-0.00048828, -0.00018311, -0.00137329, ...,  0.00079346,
+          0.00091553,  0.00085449], dtype=float32),
+  'sampling_rate': 16000},
+'text': '{COUGH} but <sil> i was so {COUGH} utterly unqualified for(2) this project and {NOISE} so utterly ridiculous {SMACK} and ignored the brief {SMACK} <sil>', 
+'speaker_id': 'PaulaScher_2008P', 
+'gender': 'female', 
+'file': '/home/sanchitgandhi/cache/downloads/extracted/6e3655f9e735ae3c467deed1df788e0dabd671c1f3e2e386e30aa3b571bd9761/TEDLIUM_release1/train/stm/PaulaScher_2008P.stm', 
+'id': 'PaulaScher_2008P-1003.35-1011.16-<o,f0,female>'}
+```
 ### Data Fields
 
-- gender: an integer value corresponding to the gender of the speaker.
+- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`. 
+- file: A path to the downloaded audio file in .sth format.
+- text: the transcription of the audio file.
+- gender: the gender of the speaker. One of: male, female or N/A.
 - id: unique id of the data sample.
 - speaker_id: unique id of the speaker. The same speaker id can be found for multiple data samples.
-- speech: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the "audio" column, i.e. `dataset[0]["audio"]` should always be preferred over `dataset["audio"][0]`.
-- text: the transcription of the audio file.
 
 ### Data Splits
 
@@ -100,11 +109,11 @@ TED-LIUM was built during [The International Workshop on Spoken Language Trans-
 
 #### Initial Data Collection and Normalization
 
-The data was obtained from publicly availably TED talks at http://www.ted.com. Proper alignments between the speech and the transcribed text were generated using an in-house speaker segmentation and clustering tool (LIUM_SpkDiarization). Speech disfluencies (e.g. repetitions, hesitations, false starts) were treated in the following way: the repetitions were transcribed, the hesitations were mapped to a specific filler word and the false starts were not taken into account. For full details on the data collection and processing, refer to the [TED-LIUM paper](https://aclanthology.org/L12-1405/).
+The data was obtained from publicly available TED talks at http://www.ted.com. Proper alignments between the speech and the transcribed text were generated using an in-house speaker segmentation and clustering tool (LIUM_SpkDiarization). Speech disfluencies (e.g. repetitions, hesitations, false starts) were treated in the following way: the repetitions were transcribed, the hesitations were mapped to a specific filler word and the false starts were not taken into account. For full details on the data collection and processing, refer to the [TED-LIUM paper](https://aclanthology.org/L12-1405/).
 
 #### Who are the source language producers?
 
-[Needs More Information]
+TED Talks are influential videos from expert speakers on education, business, science, tech and creativity.
 
 ### Annotations