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Update README.md

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@@ -36,7 +36,7 @@ and really any other OpenNeuro dataset.
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  6 WPs are the following
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  Harmonizing **metadata** *with LLM based tools*:
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- 1. Annotation column names (from non-BIDS to BIDS)
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  2. File structure
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  3. Study metadata (fetching from repository HTMLs too)
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@@ -46,7 +46,7 @@ Suggestions bigger LLMs: GPT-5, Claude, Kimi-K2, DeepSeek-R1
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  Suggestions smaller LLMs: SmoLM, LLaMA-7B, Qwen-7B
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  Harmonizing **metadata** *by hand*:
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- 4. Annotation column names (from non-BIDS to BIDS)
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  5. File structure
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  6. Study metadata (fetching from repository HTMLs too)
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@@ -55,7 +55,7 @@ For the manual harmonization, an IDE with Python / R is useful; as well as OpenR
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  Record the problems and the working time for both manual and LLM assisted harmonization.
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- Time planned: ~5 hours working time are planned for this step.
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  ### 2. Evaluation of the harmonized metadata
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@@ -67,7 +67,7 @@ Use [BIDS validator](https://bids-standard.github.io/bids-validator/) on the new
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  3. Assess the differences in the harmonized metadata.
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  4. Try to "stack" BIDS converted datasets on old BIDS datasets, and report the errors.
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- Time planned: ~4 hours.
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  ### 3. Try in action
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  6 WPs are the following
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  Harmonizing **metadata** *with LLM based tools*:
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+ 1. Annotation column names (from non-BIDS to BIDS) - working with tabular data
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  2. File structure
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  3. Study metadata (fetching from repository HTMLs too)
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  Suggestions smaller LLMs: SmoLM, LLaMA-7B, Qwen-7B
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  Harmonizing **metadata** *by hand*:
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+ 4. Annotation column names (from non-BIDS to BIDS) - working with tabular data
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  5. File structure
51
  6. Study metadata (fetching from repository HTMLs too)
52
 
 
55
 
56
  Record the problems and the working time for both manual and LLM assisted harmonization.
57
 
58
+ Time planned: ~4 hours working time are planned for this step.
59
 
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  ### 2. Evaluation of the harmonized metadata
61
 
 
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  3. Assess the differences in the harmonized metadata.
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  4. Try to "stack" BIDS converted datasets on old BIDS datasets, and report the errors.
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+ Time planned: ~3 hours.
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  ### 3. Try in action
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