Update README.md

README.md

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 ### Dataset Summary
 
 This is a reproduced (i.e. after web-crawling) and processed version of [the "PropSegment" dataset](https://github.com/google-research-datasets/PropSegmEnt) from Google Research.   
+
+Since the [`News`](https://github.com/google-research-datasets/NewSHead) portion of the dataset is released only via urls, we reconstruct the dataset by crawling. 
+Overall, ~96% of the dataset can be reproduced, and the rest ~4% either have url no longer valid, or sentences that have been edited (i.e. cannot be aligned with the orignial dataset).  
+
 PropSegment (Proposition-level Segmentation and Entailment) is a large-scale, human annotated dataset for segmenting English text into propositions, and recognizing proposition-level entailment relations --- whether a different, related document entails each proposition, contradicts it, or neither.
 
-The dataset features >45k human annotated propositions, i.e. individual semantic units within sentences, as well as >35k entailment labels between propositions and documents. 
+The original dataset features >45k human annotated propositions, i.e. individual semantic units within sentences, as well as >35k entailment labels between propositions and documents. 
 
 Check out more details in the [dataset paper](https://arxiv.org/abs/2212.10750).
 
 
 ## Dataset Structure
 
-### Data Instances
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-### Data Fields
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-### Data Splits
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-## Dataset Creation
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-### Curation Rationale
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-[More Information Needed]
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-### Source Data
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-#### Initial Data Collection and Normalization
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-[More Information Needed]
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-#### Who are the source language producers?
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-[More Information Needed]
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-### Annotations
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-#### Annotation process
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-[More Information Needed]
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-#### Who are the annotators?
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-[More Information Needed]
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-### Personal and Sensitive Information
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-[More Information Needed]
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-## Considerations for Using the Data
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-### Social Impact of Dataset
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-[More Information Needed]
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-### Discussion of Biases
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-[More Information Needed]
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-### Other Known Limitations
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-[More Information Needed]
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-## Additional Information
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-### Dataset Curators
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-[More Information Needed]
+Here we provide processed versions of the dataset for seq2seq model inputs/outputs.
 
-### Licensing Information
+`proposition_segmentation.*.jsonl` contains data for the text segmentation task, i.e. split a sentence into propositions. 
+The output propositions are concatenated as one string (with no particular order between them) by a special token `[SEP]`. 
+Each proposition is annotated as spans enclosed by `[M]` and `[/M]`.
 
-[More Information Needed]
+```
+{
+  "sentence": "This film marks the directorial debut for production designer Robert Stromberg.",
+  "propositions": "This film marks the directorial debut for [M]production designer Robert Stromberg.[/M][SEP]This [M]film marks the directorial debut for[/M] production designer [M]Robert Stromberg[/M]."
+}
+```
 
-### Citation Information
 
-[More Information Needed]
+### Citation
 
-### Contributions
+@inproceedings{chen2023propsegment,
+    title = "{PropSegmEnt}: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition",
+    author = "Chen, Sihao and Buthpitiya, Senaka and Fabrikant, Alex and Roth, Dan  and Schuster, Tal",
+    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
+    year = "2023",
+}
 
-[More Information Needed]