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chore: bump up version
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shreyashankar committed Oct 3, 2024
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2 changes: 1 addition & 1 deletion docetl/__init__.py
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__version__ = "0.1.5"
__version__ = "0.1.6"

from docetl.runner import DSLRunner
from docetl.builder import Optimizer
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4 changes: 2 additions & 2 deletions docs/operators/split.md
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Expand Up @@ -11,7 +11,7 @@ Some common scenarios where the Split operation is valuable include:
- Breaking down large legal documents to extract relevant clauses or sections
- Preparing long-form content for summarization or topic extraction

## 🚀 Example: Splitting Customer Support Transcripts
## 🚀 Operation Example: Splitting Customer Support Transcripts

Here's an example of using the Split operation to divide customer support transcripts into manageable chunks:

Expand Down Expand Up @@ -95,7 +95,7 @@ The Split operation generates multiple output items for each input item:
3. **Topic Extraction from Research Papers**:
Divide research papers into sections, use a map operation to extract key topics from each section, then apply a reduce operation to synthesize main themes across the entire paper.

## Example: Analyzing Customer Frustration
## 🚀 End-to-End Pipeline Example: Analyzing Customer Frustration

Let's walk through a complete example of using Split, Map, and Reduce operations to analyze customer frustration in support transcripts.

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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "docetl"
version = "0.1.5"
version = "0.1.6"
description = "ETL with LLM operations."
authors = ["Shreya Shankar <[email protected]>"]
license = "MIT"
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