64bits commited on
Commit
480d9a0
1 Parent(s): 93fab54
Files changed (1) hide show
  1. README.md +29 -1
README.md CHANGED
@@ -1,3 +1,31 @@
1
  ---
2
- license: apache-2.0
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ task_categories:
3
+ - text-generation
4
+ language:
5
+ - en
6
+ pretty_name: lex-llm
7
+ tags:
8
+ - transformers
9
  ---
10
+
11
+ # Intro
12
+ This dataset represents a compilation of transcripts from the Lex Fridman Podcast, obtained from https://steno.ai. The Lex Fridman Podcast, hosted by AI researcher at MIT, Lex Fridman, is a deep dive into a broad range of topics that touch on science, technology, history, philosophy, and the nature of intelligence, consciousness, love, and power. The guests on the podcast are drawn from a diverse range of fields, providing unique and insightful perspectives on these subjects.
13
+
14
+ The dataset has been formatted in ShareGPT format for use with conversational large language models (LLMs) like Vicuna, WizardVicuna, etc.
15
+
16
+ This dataset can be an invaluable resource for training and refining language models, offering a rich source of nuanced, intellectual, and thought-provoking dialogue. Furthermore, the diversity of topics covered provides a broad spectrum of language usage, idiomatic expressions, and subject matter expertise.
17
+
18
+ # What I did
19
+ 1. Fetch all episode links of Lex Fridman Podcast from https://steno.ai
20
+ 2. For each episode, transform the transcript in html to json format (Vicuna ShareGPT format)
21
+ 3. remove the first few sentences from Lex for each episode to remove the introduction and ads.
22
+
23
+ # Problems & Concerns
24
+
25
+ 1. These are audio-to-text transcriptions, which contain inaccurate detections
26
+ 2. Although the speakers are professionals, these are verbal conversations which contain oral languages
27
+ 3. The dataset may contain ads and personal opinions from Lex Fridman and the speakers
28
+ 4. more ...
29
+
30
+ # Next Steps
31
+ 1. finetune LLaMA, WizardVicuna, Vicuna models using this dataset