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Put yaml metadata at the top of README.md

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  # FIM-Estimation
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- In a FIM-Estimation task, the input consists of
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  1. A dataset of the form $\mathcal{D}_ {train} = \{(\mathbf{\lambda}_ i, x_ i)\}_ {i=1}^{\left|\mathcal{D}\right|}$, where $\vlambda_ i$ is a point in the parameter space and $x_ i$ is a sample.
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  2. The structure of the samples $x_ i$. For example, if $x_ i\in\{0,1\}^n$ is a bitstring representing a measurement of a quantum system on a lattice with $n$ sites, then the said structure is the lattice and the correspondence between the bitstring bits and the lattice sites.
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  An algorithm attempting to solve the FIM-Estimation task `XXZ300_Z(seed=05)` shall take `data/xxz300_z/seed_05/d_train.parquet` and `data/xxz300_z/meta.json` as inputs and produce FIM estimates to be compared with `data/xxz300_z/fim_ground_truth.json`.
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- ---
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- license: cc-by-sa-4.0
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- ---
 
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+ ---
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+ license: cc-by-sa-4.0
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+ language:
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+ - en
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+ ---
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+
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  # FIM-Estimation
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+ In a FIM-Estimation task, the input consists of the following components:
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  1. A dataset of the form $\mathcal{D}_ {train} = \{(\mathbf{\lambda}_ i, x_ i)\}_ {i=1}^{\left|\mathcal{D}\right|}$, where $\vlambda_ i$ is a point in the parameter space and $x_ i$ is a sample.
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  2. The structure of the samples $x_ i$. For example, if $x_ i\in\{0,1\}^n$ is a bitstring representing a measurement of a quantum system on a lattice with $n$ sites, then the said structure is the lattice and the correspondence between the bitstring bits and the lattice sites.
 
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  An algorithm attempting to solve the FIM-Estimation task `XXZ300_Z(seed=05)` shall take `data/xxz300_z/seed_05/d_train.parquet` and `data/xxz300_z/meta.json` as inputs and produce FIM estimates to be compared with `data/xxz300_z/fim_ground_truth.json`.
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